Benchmark Almanac

Meeseeks Utility Rate

Claude Sonnet 4 90.5% leads since May 2025
Not in model cards

Models follow complex instructions with feedback for up to 20 turns. The score measures fully usable responses as a percentage.

The paper reports utility rate separately from requirement-level Meeseeks Score. The importer reads final-turn utility rate.

Made by
Meituan
Released
April 2025
Kind
Multi-turn conversation
Level
Everyday
Scored
Graded by a model
Answers
Open-ended
Tasks
All public
Strongest model tested
Claude Opus 4 #108 on the capability index
Last model added
August 2025
Scores refreshed
November 12th, 2026
12
Entries on its own leaderboard, 10 models we track

Claude Sonnet 4 leads with 90.5% 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:

  1. 1 Claude Sonnet 4 20-turn feedback budget, thinking 90.5%
  2. 2 Claude Opus 4 20-turn feedback budget 87.6%
  3. 3 Qwen3-235B-A22B 20-turn feedback budget, thinking 87.1%
  4. 4 GLM-4.5 20-turn feedback budget 86.1%
  5. 5 o3-mini 20-turn feedback budget, high 84.6%
  6. 6 DeepSeek-V3.1 20-turn feedback budget 79.1%
  7. 7 Doubao-Seed-1.6 20-turn feedback budget 76.9%
  8. 8 GPT-4.1 20-turn feedback budget 69.4%
  9. 9 Gemini 2.5 Flash (snapshot unspecified) 20-turn feedback budget 67.2%
  10. 10 Qwen3-32B 20-turn feedback budget 66.4%
  11. 11 Kimi-K2-Instruct 20-turn feedback budget 62.4%
  12. 12 Qwen3-14B 20-turn feedback budget, thinking 58%

Source: Official Meeseeks Utility Rate leaderboard

#EntryScoreSettingDateSource
1 Claude Sonnet 4 90.5% 20-turn feedback budget, thinking May 2025 Official leaderboard
2 Claude Opus 4 87.6% 20-turn feedback budget May 2025 Official leaderboard
3 Qwen3-235B-A22B 87.1% 20-turn feedback budget, thinking Apr 2025 Official leaderboard
4 GLM-4.5 86.1% 20-turn feedback budget Aug 2025 Official leaderboard
5 o3-mini 84.6% 20-turn feedback budget, high Jan 2025 Official leaderboard
6 DeepSeek-V3.1 79.1% 20-turn feedback budget Aug 2025 Official leaderboard
7 Doubao-Seed-1.6 76.9% 20-turn feedback budget Jun 2025 Official leaderboard
8 GPT-4.1 69.4% 20-turn feedback budget Apr 2025 Official leaderboard
9 Gemini 2.5 Flash (snapshot unspecified) 67.2% 20-turn feedback budget Official leaderboard
10 Qwen3-32B 66.4% 20-turn feedback budget Apr 2025 Official leaderboard
11 Kimi-K2-Instruct 62.4% 20-turn feedback budget Official leaderboard
12 Qwen3-14B 58% 20-turn feedback budget, thinking Apr 2025 Official leaderboard

Scores at each effort level

Models the leaderboard ran at two or more effort levels. We don’t have enough cost data here to say what the extra effort costs.

Lowest effort to highest, light to dark
Claude Sonnet 4
20-turn fee… 20-turn fee…
90.5%
Claude Opus 4
20-turn fee…
87.6%
Qwen3-235B-A22B
20-turn fee… 20-turn fee…
87.1%
Qwen3-32B
20-turn fee… 20-turn fee…
66.4%
Qwen3-14B
20-turn fee… 20-turn fee…
58%

Source: Official Meeseeks Utility Rate leaderboard

ModelEffortHarnessScoreCost per taskOutput tokens
Claude Sonnet 4 20-turn feedback budget, thinking 90.5%
Claude Opus 4 20-turn feedback budget 87.6%
Claude Opus 4 20-turn feedback budget, thinking 87.6%
Qwen3-235B-A22B 20-turn feedback budget, thinking 87.1%
GLM-4.5 20-turn feedback budget 86.1%
o3-mini 20-turn feedback budget, high 84.6%
Claude Sonnet 4 20-turn feedback budget 79.4%
DeepSeek-V3.1 20-turn feedback budget 79.1%
Doubao-Seed-1.6 20-turn feedback budget 76.9%
Qwen3-235B-A22B 20-turn feedback budget 73.9%
GPT-4.1 20-turn feedback budget 69.4%
Qwen3-32B 20-turn feedback budget 66.4%
Qwen3-14B 20-turn feedback budget, thinking 58%
Qwen3-32B 20-turn feedback budget, thinking 57.2%
Qwen3-14B 20-turn feedback budget 47%

3 models have held number one on the official leaderboard since its release in April 2025

Lab claims count from the day the card came out, independent runs from the model’s release.

OpenAI Qwen Anthropic
Own leaderboard Passed 85% in Apr 2025, by Qwen3-235B-A22B

Source: Official Meeseeks Utility Rate leaderboard

Qwen3-235B-A22B on the official leaderboard passed 85% in April 2025

All the scores we have, one dot each, so a model tested at several settings appears more than once.

On the benchmark’s own leaderboard Best so far
0% 20% 40% 60% 80% 100% 2025 Near the ceiling (85%) Claude Sonnet 4 o3-mini 0% 20% 40% 60% 80% 100% 2025 Near the ceiling (85%) Claude Sonnet 4

Source: Official Meeseeks Utility Rate 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.

More in Instructions and chat

All 81 in Instructions and chat
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  • IFBench In use 58 new out-of-domain verifiable output constraints. Scored by programmatic constraint checks (strict or loose). Nemotron-Cascade 2 30B-A3B 82.9%
  • MultiChallenge In use Multi-turn conversations testing instruction retention, inference memory, versioned editing and self-coherence. Graded by LLM judge with rubrics. GPT-6.1 Sol 82%
  • Multi-IF In use Models follow verifiable instructions over three-turn conversations in eight languages, extending IFEval. Scored by instruction accuracy at each turn. LFM3-1.7B 89.1%
  • AdvancedIF In use Models respond to over 1,600 prompts with complex, multi-turn, and system-level instructions. A judge model checks each response against expert-written rubrics. MAI-Thinking-1 85%
  • IFStruct In use Models generate JSON or YAML that must follow a requested schema and phrasing constraints, without constrained decoding. A response passes only if every structural constraint holds. Gemma 4 31B IT 95.9%