Benchmark Almanac

PinchBench

KAT-Coder-Pro V2.5 94.9% leads since Jul 2026 In use

Real-world tasks (scheduling, email triage, coding, research, files) for an LLM driving an OpenClaw agent. Graded by automated checks and LLM judge.

v1.x grew from 23 to 53 tasks. PinchBench 2.0 (2026-05-06) expanded to 148 tasks and changed the default judge, so it has its own record.

Made by Kilo AI Released Feb 2026 General assistants All tasks public Last in a launch post Oct 2026 Last model added Oct 2026 Scores refreshed 2 Nov 2026
Level
Everyday Most adults, without training
Scored
Graded by a model A language model scores each response, usually against a rubric.
Answers
Agent task Many steps in a terminal, browser, desktop, app, game or robot.
13
Models scored in lab cards
12
Launch posts list it, from 6 labs
6
System cards report it, from 3 labs

KAT-Coder-Pro V2.5 leads with 94.9%

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.

  1. 1 KAT-Coder-Pro V2.5 94.9%
  2. 2 KAT-Coder-V2.5-Dev 93.4%
  3. 3 Trinity Large Thinking 91.9%
  4. 4 Muse Glimmer 90.5%
  5. 5 Nemotron 3 Ultra 90%
  6. 6 Nemotron 3.5 Bolt 74B-A9B 87.8%
  7. 7 Ring-2.6-1T 87.6%
  8. 8 Ling-2.6-1T 87.4%
  9. 9 Nemotron 3.5 Lightning 30B-A3B 85.4%
  10. 10 LFM2.5-24B-A2B 83.2%
  11. 11 MiMo-V2-Omni 81.2%
  12. 12 MiMo-V2-Pro 81%
  13. 13 LFM2.5-2.6B 68.2%
#ModelScoreSettingDateSource
1 KAT-Coder-Pro V2.5 94.9% Jul 2026 Model card
2 KAT-Coder-V2.5-Dev 93.4% Jul 2026 Model card
3 Trinity Large Thinking 91.9% Apr 2026 Model card
4 Muse Glimmer 90.5% Oct 2026 Model card
5 Nemotron 3 Ultra 90% Jun 2026 Model card
6 Nemotron 3.5 Bolt 74B-A9B 87.8% Oct 2026 Model card
7 Ring-2.6-1T 87.6% May 2026 Model card
8 Ling-2.6-1T 87.4% Apr 2026 Model card
9 Nemotron 3.5 Lightning 30B-A3B 85.4% Aug 2026 Model card
10 LFM2.5-24B-A2B 83.2% Oct 2026 Model card
11 MiMo-V2-Omni 81.2% Mar 2026 Model card
12 MiMo-V2-Pro 81% Mar 2026 Model card
13 LFM2.5-2.6B 68.2% Aug 2026 Model card

The benchmark's own leaderboard has 49 entries, 48 of them models we track. We plot every source in the charts below.

Number one over time

Lab claims count from the day the card came out, independent runs from the model’s release. We draw one row each for the benchmark’s own leaderboard and what labs claim in their cards.

Google DeepMind Xiaomi Corp Arcee AI Kuaishou
Own leaderboard Passed 85% in Feb 2026, by Gemini 3 Flash
Lab claims Passed 85% in Apr 2026, by Trinity Large Thinking

The best score passed 85% in Dec 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 Reported by the lab in its model card Best so far
0% 20% 40% 60% 80% 100% 2025 2026 Near the ceiling (85%) KAT-Coder-Pro V2.5 Gemini 3 Flash Claude Sonnet 4 GPT-4o GPT-4o mini 0% 20% 40% 60% 80% 100% 2025 2026 Near the ceiling (85%) KAT-Coder-Pro V2.5 Gemini 3 Flash

3 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.

Xiaomi Corp
Arcee AI
Ant Group
NVIDIA
Kuaishou
Liquid AI
DateLaunch postScoreAs the post writes it
15 Oct 2026 Nemotron 3.5 Bolt 74B-A9B 87.8 PinchBench
13 Oct 2026 LFM2.5-24B-A2B 83.2 PinchBench
11 Aug 2026 Nemotron 3.5 Lightning 30B-A3B 85.4 PinchBench
4 Aug 2026 LFM2.5-2.6B 68.2 PinchBench
23 Jul 2026 KAT-Coder-V2.5-Dev 93.4 PinchBench
6 Jul 2026 KAT-Coder-Pro V2.5 94.9 PinchBench(Avg)
4 Jun 2026 Nemotron 3 Ultra 90 PinchBench
14 May 2026 Ring-2.6-1T 87.6 PinchBench (high)
29 Apr 2026 Ling-2.6-1T 87.4 PinchBench (Avg. Score)
1 Apr 2026 Trinity Large Thinking 91.9 PinchBench
18 Mar 2026 MiMo-V2-Omni 81.2 PinchBench (avg.)
18 Mar 2026 MiMo-V2-Pro 81 PinchBench (avg.)

6 system cards report it, from 3 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.

DateDocumentScoreAs the document writes itSection
19 Oct 2026 Muse Glimmer technical report 90.5 PinchBench, 24 tasks, high (Table 5) Capabilities
15 Oct 2026 Nemotron 3.5 Lightning 30B-A3B technical report 83.9 PinchBench, BF16 acc. (Table 22) Capabilities
15 Oct 2026 Nemotron 3.5 Bolt 74B-A9B technical report 87.8 PinchBench, released 24GB checkpoint (Table 7). BF16 90.35 Capabilities
13 Jun 2026 Ring-2.6-1T technical report 87.6 PinchBench (Avg@3), high, no xhigh value (Table 6) Capabilities
13 Jun 2026 Ling-2.6-1T technical report 85.2 PinchBench, Mean@5 (Table 5) Capabilities
9 Jun 2026 Nemotron 3 Ultra technical report 90 PinchBench, held-out gate (Table 10) Capabilities

Versions

We switch the top row to each new version when it comes out. Open it for one row per version. An old version stays in play while people still test it, so whoever first takes it past 85% gets credit for closing it out.

Google DeepMind Arcee AI Kuaishou Xiaomi Corp Qwen Anthropic
PinchBench 2.0 Passed 85% in May 2026, by MiMo-V2.5
PinchBench Passed 85% in Feb 2026, by Gemini 3 Flash
PinchBench 2.0 Passed 85% in May 2026, by MiMo-V2.5

More in Tool use

All 125 in Tool use
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  • MCP Atlas In use Multi-step workflows over real MCP servers. Scores tool-use competency on realistic tasks. Muse Spark 1.1 88.1%
  • BFCL V4 In use Models call functions and tools, including multi-turn agentic tasks with web search and memory. Checked against expected calls and outcomes. Qwen3.7-Max 75%
  • τ³-bench Banking In use Agents act as banking customer-service reps over many turns with a simulated user, following policy. Pass^1 on the final database state. Qwen 3.8 Max 55.1%
  • Claw-Eval In use 300 human-verified agent tasks (service orchestration, multimodal, multi-turn dialogue) audited via traces and snapshots. Rubric scores with Pass^3 consistency. Claude Sonnet 4.6 81.4%
  • DeepSearchQA In use Questions that need multi-step search and synthesis. Final answers graded against references. Kimi K3 95%