Galileo Agent Leaderboard v2
Agents handle simulated multi-turn customer support conversations in banking, healthcare, insurance, investment and telecom, with synthetic personas and domain tools. Scores are Action Completion and Tool Selection Quality.
The board reports Action Completion. Version 2 replaced the sampled public datasets of version 1 with synthetic enterprise scenarios.
- Made by
- Galileo
- Released
- July 2025
- Kind
- Customer service
- Level
- Everyday
- Scored
- Graded by a model
- Answers
- Agent task
- Tasks
- All public
- Strongest model tested
- Grok 4 #85 on the capability index
- Last model added
- August 2025
- Scores refreshed
- November 12th, 2026
GPT-4.1 leads with 62% among models released by August 2025
Best score per entry from the benchmark's own leaderboard, read on November 12th, 2026. Where a model ran with several settings or harnesses, we keep its best. Every run is in the next chart. Names in gray aren't in our model list: fine-tunes, agent systems, products and older models. They don't count toward leaders.
The newest model with a score here came out in August 2025, and nobody has tested a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:
- Claude Fable 5.2
-
Gemini 4 Carbon
- GPT-6 Astra
- Claude Opus 5.5
- and 16 more
- 62.0 GPT-4.1
- 61.0
Mistral Medium 3.1
- 56.0 GPT-4.1 mini
- 55.0 Claude Sonnet 4
- 53.0 Kimi K2
- 53.0
Qwen3-235B-A22B-Instruct
- 51.0
Qwen2.5-72B
- 47.0
Gemini 2.5 Flash-Lite
- 44.0 GLM-4.5-Air
- 43.0
Gemini 2.5 Pro
- 42.0 Grok 4
- 40.0
DeepSeek-V3
- 38.0 GPT-4.1 nano
- 38.0
Gemini 2.5 Flash
- 34.0
Qwen3-235B-A22B-Thinking
- 32.0
Magistral Medium 1.0
- 29.0
Amazon Nova Pro
- 26.0
Mistral Small 3.2
- 20.0
Llama 3.3 70B Instruct
- 16.0 caller
- 16.0
Amazon Nova Lite
- 16.0
Magistral Small 1.0
- 1 GPT-4.1 62%
- 2
Mistral Medium 3.1 61%
- 3 GPT-4.1 mini 56%
- 4 Claude Sonnet 4 55%
- 5 Kimi K2 Jul 2025 53%
- 6
Qwen3-235B-A22B-Instruct Jul 2025 53%
- 7
Qwen2.5-72B 51%
- 8
Gemini 2.5 Flash-Lite Jun 2025 47%
- 9 GLM-4.5-Air 44%
- 10
Gemini 2.5 Pro Jun 2025 43%
- 11 Grok 4 42%
- 12
DeepSeek-V3 Mar 2025 40%
- 13 GPT-4.1 nano 38%
- 14
Gemini 2.5 Flash Jun 2025 38%
- 15
Qwen3-235B-A22B-Thinking Jul 2025 34%
- 16
Magistral Medium 1.0 32%
- 17
Amazon Nova Pro 29%
- 18
Mistral Small 3.2 26%
- 19
Llama 3.3 70B Instruct 20%
- 20 caller 16%
- 21
Amazon Nova Lite 16%
- 22
Magistral Small 1.0 16%
Source: Official Galileo Agent Leaderboard v2 leaderboard
| # | Entry | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | GPT-4.1 | 62% | Apr 2025 | Official leaderboard | |
| 2 | | 61% | Aug 2025 | Official leaderboard | |
| 3 | GPT-4.1 mini | 56% | Apr 2025 | Official leaderboard | |
| 4 | Claude Sonnet 4 | 55% | May 2025 | Official leaderboard | |
| 5 | Kimi K2 Jul 2025 | 53% | Jul 2025 | Official leaderboard | |
| 6 | | 53% | Jul 2025 | Official leaderboard | |
| 7 | | 51% | Sep 2024 | Official leaderboard | |
| 8 | | 47% | Jun 2025 | Official leaderboard | |
| 9 | GLM-4.5-Air | 44% | Jul 2025 | Official leaderboard | |
| 10 | | 43% | Jun 2025 | Official leaderboard | |
| 11 | Grok 4 | 42% | Jul 2025 | Official leaderboard | |
| 12 | | 40% | Mar 2025 | Official leaderboard | |
| 13 | GPT-4.1 nano | 38% | Apr 2025 | Official leaderboard | |
| 14 | | 38% | Jun 2025 | Official leaderboard | |
| 15 | | 34% | Jul 2025 | Official leaderboard | |
| 16 | | 32% | Jun 2025 | Official leaderboard | |
| 17 | | 29% | Dec 2024 | Official leaderboard | |
| 18 | | 26% | Jun 2025 | Official leaderboard | |
| 19 | | 20% | Dec 2024 | Official leaderboard | |
| 20 | caller | 16% | Official leaderboard | ||
| 21 | | 16% | Dec 2024 | Official leaderboard | |
| 22 | | 16% | Jun 2025 | Official leaderboard |
Speed vs Accuracy Trade-off
Average session duration of one conversation against Action Completion. The line joins the runs that no other run beats on both measures. We redrew this chart from the numbers on the official leaderboard.
| Model | Setting | Avg session duration | Action Completion |
|---|---|---|---|
| | 9.8 s | 47% | |
| GPT-4.1 nano | 12.36 s | 38% | |
| | 17.42 s | 16% | |
| | 19.92 s | 20% | |
| | 20.26 s | 16% | |
| GPT-4.1 | 24.32 s | 62% | |
| caller | 25.66 s | 16% | |
| GPT-4.1 mini | 26 s | 56% | |
| | 27.96 s | 29% | |
| | 32.96 s | 32% | |
| | 34.68 s | 51% | |
| | 35.69 s | 26% | |
| | 37.45 s | 61% | |
| | 39.84 s | 38% | |
| | 59.97 s | 40% | |
| Claude Sonnet 4 | 66.6 s | 55% | |
| GLM-4.5-Air | 69.17 s | 44% | |
| | 125.85 s | 43% | |
| Kimi K2 Jul 2025 | 163.62 s | 53% | |
| Grok 4 | 225.94 s | 42% | |
| | 238.02 s | 53% | |
| | 302.24 s | 34% |
The best score, 62%, costs $0.07 a task
Runs on the cost frontier score higher than any run that's cheaper. Mistral Medium 3.1 comes within 1 points of the best for $0.02 a task, 3 times cheaper. The costs are the leaderboard's own estimates, so compare them only within this benchmark.
Source: Official Galileo Agent Leaderboard v2 leaderboard
| Model | Effort | Harness | Score | Cost per task | Output tokens |
|---|---|---|---|---|---|
| GPT-4.1 | 62% | $0.07 | |||
| | 61% | $0.02 | |||
| GPT-4.1 mini | 56% | $0.01 | |||
| Claude Sonnet 4 | 55% | $0.15 | |||
| Kimi K2 Jul 2025 | 53% | $0.04 | |||
| | 53% | $0.007 | |||
| | 51% | $0.04 | |||
| | 47% | $0.004 | |||
| GLM-4.5-Air | 44% | $0.02 | |||
| | 43% | $0.14 | |||
| Grok 4 | 42% | $0.24 | |||
| | 40% | $0.01 | |||
| GPT-4.1 nano | 38% | $0.004 | |||
| | 38% | $0.03 | |||
| | 34% | $0.06 | |||
| | 32% | $0.12 | |||
| | 29% | $0.04 | |||
| | 26% | $0.005 | |||
| | 20% | $0.06 | |||
| | 16% | $0.003 | |||
| | 16% | $0.03 |
Number one over time
Lab claims count from the day the card came out, independent runs from the model’s release.
Source: Official Galileo Agent Leaderboard v2 leaderboard
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Source: Official Galileo Agent Leaderboard v2 leaderboard
No lab model card reports it yet
We read the headline results of 522 launch posts from 52 labs, and none of them list this benchmark.
Versions
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