BrowseComp
Hard-to-find facts that need persistent web browsing. Short verifiable answers graded for exact correctness.
Questions ship encrypted in simple-evals. Context-management settings (compaction at 300K vs full 1M) change scores by several points.
- Made by
- OpenAI
- Released
- April 2025
- Kind
- Web browsing
- Level
- Expert
- Scored
- Checked automatically
- Answers
- Agent task
- Tasks
- All public
- Strongest model tested
- GPT-6 Astra #3 on the capability index
- Last in a launch post
- November 2026
- Last model added
- November 2026
In the authors’ words
We present BrowseComp, a simple yet challenging benchmark for measuring the ability for agents to browse the web. BrowseComp comprises 1,266 questions that require persistently navigating the internet in search of hard-to-find, entangled information. Despite the difficulty of the questions, BrowseComp is simple and easy-to-use, as predicted answers are short and easily verifiable against reference answers. BrowseComp for browsing agents can be seen as analogous to how programming competitions are an incomplete but useful benchmark for coding agents. While BrowseComp sidesteps challenges of a true user query distribution, like generating long answers or resolving ambiguity, it measures the important core capability of exercising persistence and creativity in finding information. BrowseComp can be found at https://github.com/openai/simple-evals.
Claude Fable 5 leads with 93.3%
Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.
- 93.3 Claude Fable 5
- 92.2 GPT-5.6 Sol
- 92.1 Kimi K3.1 Pro
- 91.9
LongCat-2.5
- 91.7
Ling-3.1-flash
- 91.5 GPT-6 Astra
- 91.2 Kimi K3
- 90.8 Claude Opus 5
- 90.2
Inkling 2 Small
- 90.1 GPT-5.5
- 90.1 GPT-5.5 Pro
- 89.3 GPT-5.4 Pro
- 88.7
Step 5 Preview
- 88.5 Claude Opus 4.8
- 87.5 GPT-5.6 Terra
- 86.9 Claude Mythos Preview
- 86.6 Claude Sonnet 5
- 86.2
Seed2.1 Pro
- 85.9
Gemini 3.1 Pro
- 84.5
Mistral Large 4 (Le Chonk, open weights)
- 84.2
Tencent Hy3
- 84.0 Claude Opus 4.6
- 83.5
MiniMax-M3
- 83.4
DeepSeek-V4-Pro
- 83.3 GPT-5.6 Luna
- 83.2 Kimi K2.6
- 82.7 GPT-5.4
- 79.9
LongCat-2.0
- 79.3 GLM-5.1
- 79.3 Claude Opus 4.7
- 78.9
Nemotron 3.5 Super VL
- 78.6
Qwen3.5 397B-A17B
- 77.9 GPT-5.2 Pro
- 77.8
MiniMax-M2.7
- 77.4
Inkling-Small
- 77.4 Beam 1.0
- 77.3
Seed2.0 Pro
- 77.1
Inkling
- 76.3
MiniMax-M2.5
- 75.9 GLM-5
- 75.8
Step 3.7 Flash
- 74.9 Kimi K2.5
- 74.7 Claude Sonnet 4.6
- 73.2
DeepSeek-V4-Flash
- 73.1
LongCat-Flash-Thinking-2601
- 69.0
Step 3.5 Flash
- 68.9 ChatGPT agent
- 67.6
DeepSeek-V3.2
- 67.6
Seed1.8
- 67.5 GLM-4.7
- 67.1
Tencent Hy3 preview
- 66.8
Nemotron 3.5 Bolt 74B-A9B
- 64.0
Seed2.0 Lite (0428)
- 63.8
Qwen3.5-122B-A10B
- 62.0
MiniMax-M2.1
- 61.0
Qwen3.5-27B
- 61.0
Qwen3.5-35B-A3B
- 60.2 Kimi K2 Thinking
- 58.3 MiMo-V2-Flash
- 54.9 GPT-5
- 53.1
Spark-X2.6-4B
- 49.7 o3
- 49.5 Sarvam 105B
- 49.2
Solar Pro 4
- 48.6
Mistral Medium 3.5
- 45.1 GLM-4.6
- 44.9 Grok 4 Fast
- 44.4
Nemotron 3 Ultra
- 44.0
MiniMax-M2
- 42.8 glm-4.7-flash
- 40.1
DeepSeek-V3.2-Exp
- 39.5
Nemotron 3.5 Lightning 30B-A3B
- 38.5
DeepSeek-V3.1-Terminus
- 35.5 Sarvam 30B
- 31.4
K-EXAONE
- 31.3
Nemotron 3 Super
- 30.0
DeepSeek-V3.1
- 29.6
UI-TARS-2
- 28.3 o4-mini
- 26.4 GLM-4.5
- 21.3 GLM-4.5-Air
- 1 Claude Fable 5 93.3%
- 2 GPT-5.6 Sol 92.2%
- 3 Kimi K3.1 Pro 92.1%
- 4
LongCat-2.5 91.9%
- 5
Ling-3.1-flash 91.7%
- 6 GPT-6 Astra 91.5%
- 7 Kimi K3 91.2%
- 8 Claude Opus 5 90.8%
- 9
Inkling 2 Small 90.2%
- 10 GPT-5.5 90.1%
- 11 GPT-5.5 Pro 90.1%
- 12 GPT-5.4 Pro 89.3%
- 13
Step 5 Preview 88.7%
- 14 Claude Opus 4.8 88.5%
- 15 GPT-5.6 Terra 87.5%
- 16 Claude Mythos Preview 86.9%
- 17 Claude Sonnet 5 86.6%
- 18
Seed2.1 Pro 86.2%
- 19
Gemini 3.1 Pro 85.9%
- 20
Mistral Large 4 (Le Chonk, open weights) 84.5%
- 21
Tencent Hy3 84.2%
- 22 Claude Opus 4.6 84%
- 23
MiniMax-M3 83.5%
- 24
DeepSeek-V4-Pro 83.4%
- 25 GPT-5.6 Luna 83.3%
- 26 Kimi K2.6 83.2%
- 27 GPT-5.4 82.7%
- 28
LongCat-2.0 79.9%
- 29 GLM-5.1 79.3%
- 30 Claude Opus 4.7 79.3%
- 31
Nemotron 3.5 Super VL 78.9%
- 32
Qwen3.5 397B-A17B 78.6%
- 33 GPT-5.2 Pro 77.9%
- 34
MiniMax-M2.7 77.8%
- 35
Inkling-Small 77.4%
- 36 Beam 1.0 77.4%
- 37
Seed2.0 Pro 77.3%
- 38
Inkling 77.1%
- 39
MiniMax-M2.5 76.3%
- 40 GLM-5 75.9%
- 41
Step 3.7 Flash 75.8%
- 42 Kimi K2.5 74.9%
- 43 Claude Sonnet 4.6 74.7%
- 44
DeepSeek-V4-Flash 73.2%
- 45
LongCat-Flash-Thinking-2601 73.1%
- 46
Step 3.5 Flash 69%
- 47 ChatGPT agent 68.9%
- 48
DeepSeek-V3.2 67.6%
- 49
Seed1.8 67.6%
- 50 GLM-4.7 67.5%
- 51
Tencent Hy3 preview 67.1%
- 52
Nemotron 3.5 Bolt 74B-A9B 66.8%
- 53
Seed2.0 Lite (0428) 64%
- 54
Qwen3.5-122B-A10B 63.8%
- 55
MiniMax-M2.1 62%
- 56
Qwen3.5-27B 61%
- 57
Qwen3.5-35B-A3B 61%
- 58 Kimi K2 Thinking 60.2%
- 59 MiMo-V2-Flash 58.3%
- 60 GPT-5 54.9%
- 61
Spark-X2.6-4B 53.1%
- 62 o3 49.7%
- 63 Sarvam 105B 49.5%
- 64
Solar Pro 4 49.2%
- 65
Mistral Medium 3.5 48.6%
- 66 GLM-4.6 45.1%
- 67 Grok 4 Fast 44.9%
- 68
Nemotron 3 Ultra 44.4%
- 69
MiniMax-M2 44%
- 70 glm-4.7-flash 42.8%
- 71
DeepSeek-V3.2-Exp 40.1%
- 72
Nemotron 3.5 Lightning 30B-A3B 39.5%
- 73
DeepSeek-V3.1-Terminus 38.5%
- 74 Sarvam 30B 35.5%
- 75
K-EXAONE 31.4%
- 76
Nemotron 3 Super 31.3%
- 77
DeepSeek-V3.1 30%
- 78
UI-TARS-2 29.6%
- 79 o4-mini 28.3%
- 80 GLM-4.5 26.4%
- 81 GLM-4.5-Air 21.3%
Source: Labs’ model cards
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Claude Fable 5 | 93.3% | Jun 2026 | Lab model card | |
| 2 | GPT-5.6 Sol | 92.2% | Jul 2026 | Lab model card | |
| 3 | Kimi K3.1 Pro | 92.1% | Oct 2026 | Lab model card | |
| 4 | | 91.9% | Nov 2026 | Lab model card | |
| 5 | | 91.7% | Oct 2026 | Lab model card | |
| 6 | GPT-6 Astra | 91.5% | Sep 2026 | Lab model card | |
| 7 | Kimi K3 | 91.2% | Jul 2026 | Lab model card | |
| 8 | Claude Opus 5 | 90.8% | Jul 2026 | Lab model card | |
| 9 | | 90.2% | Nov 2026 | Lab model card | |
| 10 | GPT-5.5 | 90.1% | Apr 2026 | Lab model card | |
| 11 | GPT-5.5 Pro | 90.1% | Apr 2026 | Lab model card | |
| 12 | GPT-5.4 Pro | 89.3% | Mar 2026 | Lab model card | |
| 13 | | 88.7% | Sep 2026 | Lab model card | |
| 14 | Claude Opus 4.8 | 88.5% | May 2026 | Lab model card | |
| 15 | GPT-5.6 Terra | 87.5% | Jul 2026 | Lab model card | |
| 16 | Claude Mythos Preview | 86.9% | Apr 2026 | Lab model card | |
| 17 | Claude Sonnet 5 | 86.6% | Jun 2026 | Lab model card | |
| 18 | | 86.2% | Jun 2026 | Lab model card | |
| 19 | | 85.9% | Feb 2026 | Lab model card | |
| 20 | | 84.5% | Oct 2026 | Lab model card | |
| 21 | | 84.2% | Jul 2026 | Lab model card | |
| 22 | Claude Opus 4.6 | 84% | Feb 2026 | Lab model card | |
| 23 | | 83.5% | Jun 2026 | Lab model card | |
| 24 | | 83.4% | Apr 2026 | Lab model card | |
| 25 | GPT-5.6 Luna | 83.3% | Jul 2026 | Lab model card | |
| 26 | Kimi K2.6 | 83.2% | Apr 2026 | Lab model card | |
| 27 | GPT-5.4 | 82.7% | Mar 2026 | Lab model card | |
| 28 | | 79.9% | Jul 2026 | Lab model card | |
| 29 | GLM-5.1 | 79.3% | Apr 2026 | Lab model card | |
| 30 | Claude Opus 4.7 | 79.3% | Apr 2026 | Lab model card | |
| 31 | | 78.9% | Oct 2026 | Lab model card | |
| 32 | | 78.6% | Feb 2026 | Lab model card | |
| 33 | GPT-5.2 Pro | 77.9% | Dec 2025 | Lab model card | |
| 34 | | 77.8% | May 2026 | Lab model card | |
| 35 | | 77.4% | Jul 2026 | Lab model card | |
| 36 | Beam 1.0 | 77.4% | Oct 2026 | Lab model card | |
| 37 | | 77.3% | Feb 2026 | Lab model card | |
| 38 | | 77.1% | Jul 2026 | Lab model card | |
| 39 | | 76.3% | Feb 2026 | Lab model card | |
| 40 | GLM-5 | 75.9% | Feb 2026 | Lab model card | |
| 41 | | 75.8% | May 2026 | Lab model card | |
| 42 | Kimi K2.5 | 74.9% | Jan 2026 | Lab model card | |
| 43 | Claude Sonnet 4.6 | 74.7% | Feb 2026 | Lab model card | |
| 44 | | 73.2% | Apr 2026 | Lab model card | |
| 45 | | 73.1% | Jan 2026 | Lab model card | |
| 46 | | 69% | Feb 2026 | Lab model card | |
| 47 | ChatGPT agent | 68.9% | Jul 2025 | Lab model card | |
| 48 | | 67.6% | Dec 2025 | Lab model card | |
| 49 | | 67.6% | Dec 2025 | Lab model card | |
| 50 | GLM-4.7 | 67.5% | Dec 2025 | Lab model card | |
| 51 | | 67.1% | Apr 2026 | Lab model card | |
| 52 | | 66.8% | Oct 2026 | Lab model card | |
| 53 | | 64% | Apr 2026 | Lab model card | |
| 54 | | 63.8% | Feb 2026 | Lab model card | |
| 55 | | 62% | Dec 2025 | Lab model card | |
| 56 | | 61% | Feb 2026 | Lab model card | |
| 57 | | 61% | Feb 2026 | Lab model card | |
| 58 | Kimi K2 Thinking | 60.2% | Nov 2025 | Lab model card | |
| 59 | MiMo-V2-Flash | 58.3% | Dec 2025 | Lab model card | |
| 60 | GPT-5 | 54.9% | Aug 2025 | Lab model card | |
| 61 | | 53.1% | Oct 2026 | Lab model card | |
| 62 | o3 | 49.7% | Apr 2025 | Lab model card | |
| 63 | Sarvam 105B | 49.5% | Mar 2026 | Lab model card | |
| 64 | | 49.2% | Aug 2026 | Lab model card | |
| 65 | | 48.6% | May 2026 | Lab model card | |
| 66 | GLM-4.6 | 45.1% | Sep 2025 | Lab model card | |
| 67 | Grok 4 Fast | 44.9% | Sep 2025 | Lab model card | |
| 68 | | 44.4% | Jun 2026 | Lab model card | |
| 69 | | 44% | Oct 2025 | Lab model card | |
| 70 | glm-4.7-flash | 42.8% | Jan 2026 | Lab model card | |
| 71 | | 40.1% | Sep 2025 | Lab model card | |
| 72 | | 39.5% | Oct 2026 | Lab model card | |
| 73 | | 38.5% | Sep 2025 | Lab model card | |
| 74 | Sarvam 30B | 35.5% | Mar 2026 | Lab model card | |
| 75 | | 31.4% | Dec 2025 | Lab model card | |
| 76 | | 31.3% | Mar 2026 | Lab model card | |
| 77 | | 30% | Aug 2025 | Lab model card | |
| 78 | | 29.6% | Sep 2025 | Lab model card | |
| 79 | o4-mini | 28.3% | Apr 2025 | Lab model card | |
| 80 | GLM-4.5 | 26.4% | Jul 2025 | Lab model card | |
| 81 | GLM-4.5-Air | 21.3% | Aug 2025 | Lab model card |
8 models have held number one in labs’ own numbers since its release in April 2025
Lab claims count from the day the card came out, independent runs from the model’s release.
Source: Labs’ model cards
Google DeepMind’s own number for Gemini 3.1 Pro passed 85% in February 2026
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Source: Labs’ model cards
14 labs put it in a launch post in the last six months
Launch posts from every lab that has listed it, one tick per post. Tall colored ticks include it, and short gray ones leave it out.
| Date | Launch post | Score | As the post writes it |
|---|---|---|---|
| Nov 5, 2026 | 90.2 | BrowseComp with context management, 90.2% | |
| Nov 2, 2026 | 91.9 | BrowseComp | |
| Oct 29, 2026 | 84.5 | Web browsing BrowseComp | |
| Oct 24, 2026 | Kimi K3.1 Pro | 92.1 | BrowseComp |
| Oct 22, 2026 | 53.1 | BrowseComp | |
| Oct 15, 2026 | 66.8 | BrowseComp | |
| Oct 15, 2026 | 78 | BrowseComp (78.91 in the technical report) | |
| Oct 13, 2026 | 91.7 | Browsecomp | |
| Oct 5, 2026 | Beam 1.0 | 77.4 | BrowseComp w/ context management |
| Sep 20, 2026 | 88.7 | BrowseComp | |
| Sep 3, 2026 | GPT-6 Astra | 91.5 | BrowseComp |
| Aug 11, 2026 | 37 | BrowseComp | |
| Aug 11, 2026 | 49.2 | BrowseComp* (in-house) | |
| Jul 30, 2026 | 77.4 | BrowseComp with context management | |
| Jul 24, 2026 | Claude Opus 5 | 90.8 | Agentic search BrowseComp |
| Jul 16, 2026 | Kimi K3 | 91.2 | BrowseComp |
| Jul 15, 2026 | 77.1 | BrowseComp w/ ctx management | |
| Jul 9, 2026 | GPT-5.6 Luna | 83.3 | BrowseComp |
| Jul 9, 2026 | GPT-5.6 Terra | 87.5 | BrowseComp |
| Jul 9, 2026 | GPT-5.6 Sol | 92.2 | BrowseComp (Sol Ultra, 4 agents) |
| Jul 5, 2026 | 79.9 | BrowseComp | |
| Jul 2, 2026 | 84.2 | BrowseComp | |
| Jun 30, 2026 | Claude Sonnet 5 | 86.6 | BrowseComp (multi agent) |
| Jun 9, 2026 | Claude Fable 5 | 93.3 | BrowseComp (multi-agent) |
| Jun 4, 2026 | 44.4 | BrowseComp | |
| Jun 1, 2026 | 83.5 | BrowseComp | |
| May 29, 2026 | 75.8 | BrowseComp (acc) | |
| May 28, 2026 | Claude Opus 4.8 | 88.5 | BrowseComp (multi-agent) |
| May 22, 2026 | 48.6 | BrowseComp**** (self-reported, context management, discard-all at 100k tokens) | |
| Apr 28, 2026 | 64 | BrowseComp | |
| Apr 24, 2026 | 73.2 | BrowseComp (Pass@1), V4-Flash Max | |
| Apr 24, 2026 | 83.4 | BrowseComp (Pass@1) | |
| Apr 23, 2026 | GPT-5.5 Pro | 90.1 | BrowseComp |
| Apr 23, 2026 | 67.1 | BrowseComp | |
| Apr 23, 2026 | GPT-5.5 | 90.1 | BrowseComp (GPT-5.5 Pro) |
| Apr 20, 2026 | Kimi K2.6 | 83.2 | BrowseComp |
| Apr 16, 2026 | Claude Opus 4.7 | 79.3 | Agentic search BrowseComp |
| Apr 7, 2026 | GLM-5.1 | 79.3 | BrowseComp (w/ Context Manage) |
| Apr 7, 2026 | Claude Mythos Preview | 86.9 | BrowseComp (Glasswing page) |
| Mar 11, 2026 | 31.3 | BrowseComp with Search | |
| Mar 6, 2026 | Sarvam 30B | 35.5 | BrowseComp |
| Mar 6, 2026 | Sarvam 105B | 49.5 | BrowseComp |
| Mar 5, 2026 | GPT-5.4 Pro | 89.3 | BrowseComp |
| Mar 5, 2026 | GPT-5.4 | 82.7 | BrowseComp |
| Feb 24, 2026 | 61 | Browsecomp | |
| Feb 24, 2026 | 61 | Browsecomp | |
| Feb 24, 2026 | 63.8 | Browsecomp (context folding) | |
| Feb 19, 2026 | 85.9 | BrowseComp (Search + Python + Browse) | |
| Feb 17, 2026 | Claude Sonnet 4.6 | 74.7 | Agentic search BrowseComp |
| Feb 16, 2026 | 78.6 | BrowseComp (69.0/78.6) | |
| Feb 14, 2026 | 77.3 | BrowseComp | |
| Feb 12, 2026 | 76.3 | BrowseComp (w/ctx) | |
| Feb 11, 2026 | GLM-5 | 75.9 | BrowseComp (w/ Context Manage) |
| Feb 5, 2026 | Claude Opus 4.6 | 84 | Agentic search BrowseComp |
| Feb 2, 2026 | 69 | Best of BrowseComp 51.6 / BrowseComp (w/ Context Manager) 69.0 | |
| Jan 27, 2026 | Kimi K2.5 | 74.9 | BrowseComp (w/ctx manage) |
| Jan 19, 2026 | glm-4.7-flash | 42.8 | BrowseComp |
| Jan 14, 2026 | 73.1 | Best of BrowseComp (Pass@1) 56.6 / with context management 73.1 | |
| Dec 31, 2025 | 31.4 | BrowseComp | |
| Dec 23, 2025 | 62 | BrowseComp (context management) | |
| Dec 22, 2025 | GLM-4.7 | 67.5 | BrowseComp (w/ Context Manage) |
| Dec 18, 2025 | 67.6 | BrowseComp-en | |
| Dec 16, 2025 | MiMo-V2-Flash | 58.3 | Best of BrowseComp 45.4 / BrowseComp (w/ Context Manage) 58.3 |
| Dec 11, 2025 | GPT-5.2 Pro | 77.9 | BrowseComp |
| Dec 1, 2025 | 67.6 | BrowseComp (Pass@1) | |
| Nov 6, 2025 | Kimi K2 Thinking | 60.2 | BrowseComp, w/ tools |
| Oct 27, 2025 | 44 | BrowseComp | |
| Sep 30, 2025 | GLM-4.6 | 45.1 | BrowseComp |
| Sep 29, 2025 | 40.1 | BrowseComp | |
| Sep 22, 2025 | 38.5 | BrowseComp | |
| Sep 19, 2025 | Grok 4 Fast | 44.9 | BrowseComp pass@1 |
| Sep 2, 2025 | 29.6 | BC-en 7.0 GUI-only (29.6 with GUI-SDK) | |
| Aug 21, 2025 | 30 | BrowseComp | |
| Aug 7, 2025 | GPT-5 | 54.9 | BrowseComp Agentic search & browsing |
| Jul 28, 2025 | GLM-4.5 | 26.4 | BrowseComp |
| Jul 17, 2025 | ChatGPT agent | 68.9 | BrowseComp (Agentic Browsing) |
| Apr 16, 2025 | o4-mini | 28.3 | BrowseComp (with python + browsing) |
| Apr 16, 2025 | o3 | 49.7 | BrowseComp Agentic Browsing, o3 with python + browsing |
34 system cards report it, from 13 labs
Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| Oct 15, 2026 | | 78.9 | BrowseComp, NeMo Gym harness with Exa search (Table 10). OpenCode harness gives 72.35 | Capabilities |
| Oct 15, 2026 | | 39.5 | BrowseComp, BF16 acc. (Table 22) | Capabilities |
| Oct 15, 2026 | | 66.8 | BrowseComp, Exa web search, released 24GB checkpoint (Table 7 and Section 8). BF16 70.00 | Capabilities |
| Jul 30, 2026 | | 77.4 | BrowseComp with context management (5. Evaluations table) | Capabilities |
| Jul 27, 2026 | Kimi K3 technical report | 91.2 | BrowseComp with context compaction at 300K tokens, 90.4 with full 1M context and no context management (Table 2, 6.1.3) | Capabilities |
| Jul 24, 2026 | Claude Opus 5 system card | 90.8 | BrowseComp, single agent with web search, fetch, programmatic tool calling, code execution and compaction (Table 8.1.A, 8.10.2). Multi-agent 10-agent team 93.6% on a pre-release configuration (8.11.1) | Capabilities |
| Jul 15, 2026 | | 77.1 | BrowseComp w/ ctx management (5. Evaluations table, effort 0.99) | Capabilities |
| Jun 30, 2026 | Claude Sonnet 5 system card | 84.7 | BrowseComp single agent, max effort, 10M-token limit with compaction (multi agent 86.6%) (Table 8.1.A, 8.9.2) | Capabilities |
| Jun 23, 2026 | | 86.2 | BrowseComp (with Search) (Table 11) | Capabilities |
| Jun 9, 2026 | | 44.4 | BrowseComp (Table 10) | Capabilities |
| May 28, 2026 | Claude Opus 4.8 system card | 84.3 | BrowseComp single-agent, max effort, 10M-token limit with compaction at 200k (multi-agent 88.5% with an orchestrator and blocking subagents, five-agent team 85.4%) (Table 8.1.A, 8.10.2, 8.11.1) | Capabilities |
| May 26, 2026 | | 44 | BrowseComp (Hugging Face official score), MiniMax-M2 bar, printed label (Figure 9) | Capabilities |
| May 26, 2026 | | 77.8 | BrowseComp, WebExplorer framework with context dropping (Table 4) | Capabilities |
| May 26, 2026 | | 76.3 | BrowseComp, WebExplorer framework with context dropping (Table 4) | Capabilities |
| Apr 26, 2026 | | 83.4 | BrowseComp (Pass@1), discard-all context management, DS-V4-Pro Max (Table 6) | Capabilities |
| Apr 26, 2026 | | 73.2 | BrowseComp (Pass@1), DeepSeek-V4-Flash Max (Table 7) | Capabilities |
| Apr 16, 2026 | Claude Opus 4.7 system card | 79.3 | BrowseComp, thinking off at max effort, 10M token limit with compaction (Table 8.1.A, 8.8.2) | Capabilities |
| Apr 7, 2026 | Claude Mythos Preview system card | 86.9 | BrowseComp, web search, web fetch, programmatic tool calling and code execution, adaptive thinking, max effort, 3M token limit with compaction (6.10.2); 24.0 with no thinking and no tools as a contamination check | Capabilities |
| Mar 21, 2026 | | 67.6 | BrowseComp-en (Table 4). 45.0 low and 55.0 medium effort (Figure 4 text) | Capabilities |
| Mar 11, 2026 | | 31.3 | BrowseComp with Search, internal harness with Serp API (Table 5) | Capabilities |
| Feb 19, 2026 | | 85.9 | BrowseComp, Search + Python + Browse (results table, p.4) | Capabilities |
| Feb 17, 2026 | GLM-5 technical report | 75.9 | BrowseComp (w/ Context Manage), discard-all (Table 7, Figure 1 headline). Without context management 62.0 | Capabilities |
| Feb 17, 2026 | Claude Sonnet 4.6 system card | 74 | BrowseComp single agent, no thinking, max effort, compaction up to 10M tokens, revised 2026-03-06 from 74.72; multi-agent 82.07 (2.20.1.1, 2.20.1.3) | Capabilities |
| Feb 14, 2026 | | 77.3 | BrowseComp, search agent (Table 11) | Capabilities |
| Feb 11, 2026 | | 69 | BrowseComp (w. Ctx Manage), discard-all context management, as in the abstract (Table 5). Without context management 51.6 | Capabilities |
| Feb 5, 2026 | Claude Opus 4.6 system card | 83.7 | BrowseComp, best single-agent configuration, no thinking, max effort, compaction up to 10M tokens, revised on 2026-03-06 from 83.97 (Figure 2.21.1.A); multi-agent 86.57, revised from 86.81 (2.21.1.2) | Capabilities |
| Jan 30, 2026 | Kimi K2.5 technical report | 60.6 | BrowseComp without context management. 74.9 with discard-all context management, 78.4 with Agent Swarm (Table 4) | Capabilities |
| Jan 23, 2026 | | 73.1 | BrowseComp (Pass@1), with context management (Table 2). Without context management 56.6 | Capabilities |
| Jan 6, 2026 | MiMo-V2-Flash technical report | 58.3 | BrowseComp (w/ Context Manage) 58.3, BrowseComp without it 45.4 (Table 9) | Capabilities |
| Jan 5, 2026 | | 31.4 | BrowseComp, marked Non-reasoning, with summarizer and trajectory compressor (Table 3 and C.6) | Capabilities |
| Dec 1, 2025 | | 67.6 | BrowseComp (Pass@1) with discard-all context management, the final score per 4.1. 51.4 without context management, 60.2 with Summary DeepSeek-V3.2 Thinking (Table 2) | Capabilities |
| Sep 29, 2025 | | 40.1 | BrowseComp (Acc.), search agent, DeepSeek-V3.2-Exp (Table 1) | Capabilities |
| Aug 8, 2025 | GLM-4.5 technical report | 26.4 | BrowseComp (Table 3) | Capabilities |
| Aug 8, 2025 | GLM-4.5-Air technical report | 21.3 | BrowseComp (Table 3) | Capabilities |
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