Hermes Index
Nous Research averages pass@1 and cost per task over Hermes Bench, Terminal-Bench 4.0, Terminal-Bench Science and SkillsBench, all run in Hermes Agent.
The first edition on 2026-10-06 covered 14 models.
- Level
- Expert Specialists with years of training, often over hours of work
- Scored
- Checked automatically A program checks the result against an answer key, unit tests or the expected final state.
- Answers
- Agent task Many steps in a terminal, browser, desktop, app, game or robot.
Claude Opus 5.5 leads with 63.3
Best score per entry from the benchmark's own leaderboard, read on 2 Nov 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.
- 63.3 Claude Opus 5.5
- 57.1 GPT-6.1 Sol
- 56.3 GPT-6 Astra
- 53.1 Claude Sonnet 5.5
- 44.1 GPT-6 Sol
- 39.3 Grok 4.7
- 39.2 GLM-5.3
- 39.2 Kimi K3
- 38.1
Gemini 3.8 Flash
- 37.0 Claude Haiku 5.5
- 36.9
DeepSeek V4.1 Flash
- 36.2
Qwen 3.8 Max
- 35.0 GLM-5.3-Flash
- 33.9 GPT-6 Luna
- 32.8
Step 5 Preview
- 26.1
Tencent Hy4 preview
- 24.1 Nemotron Super 3.5
- 21.6
Ling-3.0-flash
- 1 Claude Opus 5.5 63.3
- 2 GPT-6.1 Sol 57.1
- 3 GPT-6 Astra 56.3
- 4 Claude Sonnet 5.5 53.1
- 5 GPT-6 Sol 44.1
- 6 Grok 4.7 39.3
- 7 GLM-5.3 39.2
- 8 Kimi K3 39.2
- 9
Gemini 3.8 Flash 38.1
- 10 Claude Haiku 5.5 37.0
- 11
DeepSeek V4.1 Flash 36.9
- 12
Qwen 3.8 Max 36.2
- 13 GLM-5.3-Flash 35.0
- 14 GPT-6 Luna 33.9
- 15
Step 5 Preview 32.8
- 16
Tencent Hy4 preview 26.1
- 17 Nemotron Super 3.5 24.1
- 18
Ling-3.0-flash 21.6
| # | Entry | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Claude Opus 5.5 | 63.3 | Hermes Agent | Sep 2026 | Official leaderboard |
| 2 | GPT-6.1 Sol | 57.1 | Hermes Agent | Sep 2026 | Official leaderboard |
| 3 | GPT-6 Astra | 56.3 | Hermes Agent | Sep 2026 | Official leaderboard |
| 4 | Claude Sonnet 5.5 | 53.1 | Hermes Agent | Sep 2026 | Official leaderboard |
| 5 | GPT-6 Sol | 44.1 | Hermes Agent | Sep 2026 | Official leaderboard |
| 6 | Grok 4.7 | 39.3 | Hermes Agent | Sep 2026 | Official leaderboard |
| 7 | GLM-5.3 | 39.2 | Hermes Agent | Aug 2026 | Official leaderboard |
| 8 | Kimi K3 | 39.2 | Hermes Agent | Jul 2026 | Official leaderboard |
| 9 | | 38.1 | Hermes Agent | Sep 2026 | Official leaderboard |
| 10 | Claude Haiku 5.5 | 37.0 | Hermes Agent | Oct 2026 | Official leaderboard |
| 11 | | 36.9 | Hermes Agent | Sep 2026 | Official leaderboard |
| 12 | | 36.2 | Hermes Agent | Aug 2026 | Official leaderboard |
| 13 | GLM-5.3-Flash | 35.0 | Hermes Agent | Aug 2026 | Official leaderboard |
| 14 | GPT-6 Luna | 33.9 | Hermes Agent | Sep 2026 | Official leaderboard |
| 15 | | 32.8 | Hermes Agent | Sep 2026 | Official leaderboard |
| 16 | | 26.1 | Hermes Agent | Aug 2026 | Official leaderboard |
| 17 | Nemotron Super 3.5 | 24.1 | Hermes Agent | Official leaderboard | |
| 18 | | 21.6 | Hermes Agent | Aug 2026 | Official leaderboard |
The best score, 63.3, costs $4.99 a task
Runs on the cost frontier score higher than any run that's cheaper. The costs are the leaderboard's own estimates, so compare them only within this benchmark.
| Model | Effort | Harness | Score | Cost per task | Output tokens |
|---|---|---|---|---|---|
| Claude Opus 5.5 | Hermes Agent | 63.3 | $4.99 | ||
| GPT-6.1 Sol | Hermes Agent | 57.1 | $1.19 | ||
| GPT-6 Astra | Hermes Agent | 56.3 | $12 | ||
| Claude Sonnet 5.5 | Hermes Agent | 53.1 | $2.82 | ||
| GPT-6 Sol | Hermes Agent | 44.1 | $2.23 | ||
| Grok 4.7 | Hermes Agent | 39.3 | $11 | ||
| GLM-5.3 | Hermes Agent | 39.2 | $3.78 | ||
| Kimi K3 | Hermes Agent | 39.2 | $6.50 | ||
| | Hermes Agent | 38.1 | $3.17 | ||
| Claude Haiku 5.5 | Hermes Agent | 37.0 | $0.49 | ||
| | Hermes Agent | 36.9 | $0.26 | ||
| | Hermes Agent | 36.2 | $6.69 | ||
| GLM-5.3-Flash | Hermes Agent | 35.0 | $0.50 | ||
| GPT-6 Luna | Hermes Agent | 33.9 | $0.14 | ||
| | Hermes Agent | 32.8 | $1.75 | ||
| | Hermes Agent | 26.1 | $0.48 | ||
| | Hermes Agent | 21.6 | $0.05 |
Number one over time
Lab claims count from the day the card came out, independent runs from the model’s release.
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
No lab model card reports it yet
We read the headline results of 479 launch posts from 51 labs, and none of them list this benchmark.
More in Other
- Personal Superintelligence Index (Meta) In use Meta's composite of seven personal and knowledge-work evals: Agents' Last Exam, AutomationBench-AA, FocusBench, JobBench, GDP.pdf, VBT and DRACO.
- Artificial Analysis Intelligence Index v5 In use Version 5 of Artificial Analysis's index: nine evaluations in four equal categories, most with private test sets, run three times each in its own agent harness.
Gemini 4 Carbon 59.0
- Anthropic ECI (AECI) Only in system cards Index that combines a basket of capability benchmarks into one capability score to track trends across Anthropic models. Claude Opus 5.5 169.4
- Qwen in-house English automatic evaluation Only in system cards Models answer Qwen in-house English datasets on knowledge, comprehension, coding, math and related skills. Skills and weights change between reports.
Qwen2-72B 72.9%
- Recognition of model-written user turns (Anthropic) Only in system cards Models write synthetic user turns for real Claude Code transcripts, then judge which version is real. Score is accuracy above chance. Claude Mythos Preview 0.35
- LiveBench Dropped Models answer monthly refreshed questions across math, coding, reasoning, language, instruction following, and data analysis. Scored automatically against objective ground truth. Claude Fable 5.1 85.7%