Agnes 3.0 Flash vs Claude Fable 5.1
Verdict
- Claude Fable 5.1 (high) leads on quality: 72.0 vs 62.3.
- Agnes 3.0 Flash is stronger in agents & tools.
- Claude Fable 5.1 (high) is stronger in composite, knowledge, long context, reasoning, coding.
- Agnes 3.0 Flash is 267× cheaper ($0.075 vs $20.00 per 1M blended).
| Metric | Agnes 3.0 Flash | Claude Fable 5.1 (high) |
|---|---|---|
| BenchLeader Index | 62.3 | 72.0 |
| Agents & tools score | 76.8 | 66.6 |
| Composite score | 74.0 | 94.0 |
| Knowledge score | 59.1 | 83.7 |
| Long context score | 67.0 | 68.4 |
| Reasoning score | 71.1 | 81.0 |
| Coding score | – | 74.1 |
| Blended price $/M | $0.075 | $20.00 |
| Output speed | – | 55 tok/s |
| Time to first answer | – | 14.7 s |
| Context window | 1M | 1M |
| Terminal-Bench | – | 54.5% |
| SciCode | – | 57.6% |
| WeirdML | – | 92.3% |
| APEX-Agents | – | 44.4% |
| AA Intelligence Index | 35.5 | 51.2 |
| AA-LCR | 81.0% | 83.7% |
| AA-Omniscience | -10.6 | 40.8 |
| GPQA Diamond (AA) | 92.4% | 90.6% |
| Humanity's Last Exam (AA) | 38.5% | 55.9% |
| SciCode (AA) | 51.6% | 58.7% |
| ARC-AGI-1 | – | 96.0% |
| ARC-AGI-2 | – | 88.8% |
| CritPt | 15.1% | 30.3% |
| GDPval (AA) | 53.7% | 57.5% |
| τ²-Bench Banking (AA) | 47.6% | 43.1% |
| MirrorCode | – | 73.3% |
| CursorBench | – | 69.4% |
| ALE-Bench | – | 2143.2 |
Data as of 2026-09-19. Best configuration of each model; every score links to its source on the model pages.
Agnes 3.0 Flash vs Claude Fable 5.1: questions
- Is Agnes 3.0 Flash better than Claude Fable 5.1?
- Claude Fable 5.1 (high) leads on quality: 72.0 vs 62.3. The BenchLeader Index combines every independent quality benchmark; Claude Fable 5.1 (high) is ahead overall as of 2026-09-19, but check the category scores for your use.
- Is Agnes 3.0 Flash better than Claude Fable 5.1 for agentic tasks?
- Agnes 3.0 Flash scores higher in agentic tasks (77 vs 67 on the category index, where 50 is average).
- Which is cheaper, Agnes 3.0 Flash or Claude Fable 5.1?
- Agnes 3.0 Flash is cheaper: $0.075 against $20.00 per million tokens, blended at three input tokens per output token.
- Which has the larger context window?
- Both accept 1M tokens of context.