Model comparison
Claude Fable 5 vs Olmo 2 0325 32b Instruct
Claude Fable 5 is the stronger model overall, scoring 66.3 to 32.2 on the Noometry Index.
Last verified . 11 shared benchmarks.
Allen Institute for AI (Ai2)Summary
- They share 11 benchmarks with published results for both. Claude Fable 5 scores higher in 8 categories and Olmo 2 0325 32b Instruct in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude Fable 5 leads 88.4 to 24.8.
- Olmo 2 0325 32b Instruct has downloadable open weights; the other is API-only.
Side by side
| Claude Fable 5 | Olmo 2 0325 32b Instruct | |
|---|---|---|
| Provider | Anthropic | Allen Institute for AI (Ai2) |
| Noometry Index | 66.3 | 32.2 |
| Released | 2026-06-07 | — |
| Weights | Proprietary | Open |
| Context window | 1M | — |
| Max output | 128K | — |
| Input $ / M tokens | $10 | — |
| Output $ / M tokens | $50 | — |
| Results tracked | 61 | 16 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Claude Fable 5 leads
Claude Fable 5: 67.0 (#4), Olmo 2 0325 32b Instruct: 34.6 (#222)
| Benchmark | Claude Fable 5 | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Coding | 1519 | 1210 |
| DeepSWE | 69.9% | — |
| FrontierCode | 53.5% | — |
| LMArena WebDev | 1626 | — |
| FrontierSWE | 47% | — |
| SciCode | 61% | — |
| WeirdML | 91.9% | — |
| MirrorCode | 63.9% | — |
| ALE-Bench | 2,041 | — |
Agentic & Tool Use Not comparable
Claude Fable 5: 54.1 (#2), Olmo 2 0325 32b Instruct: —
| Benchmark | Claude Fable 5 | Olmo 2 0325 32b Instruct |
|---|---|---|
| APEX-Agents | 63.6% | — |
| Remote Labor Index | 16.1% | — |
| τ²-bench Banking | 39.7% | — |
| PostTrainBench | 41.8% | — |
| GBAEval | 74.5% | — |
| GDP.pdf | 30% | — |
| LMArena Search | 1230 | — |
| Vending-Bench 2 | 5,680 | — |
Reasoning Claude Fable 5 leads
Claude Fable 5: 76.8 (#4), Olmo 2 0325 32b Instruct: 22.6 (#174)
| Benchmark | Claude Fable 5 | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Hard Prompts | 1508 | 1208 |
| ARC-AGI-2 | 89.2% | — |
| SimpleBench | 81.9% | — |
| Kagi LLM Benchmark | 91.4% | — |
| NYT Connections (extended) | 92.7% | — |
| ARC-AGI-1 | 98.5% | — |
| CritPt | 28.6% | — |
| Chess Puzzles | 41% | — |
| EnigmaEval | 39.3% | — |
| EBR-Bench | 39.5% | — |
| Mystery Game Puzzles | 52% | — |
| DTBench | 98.4% | — |
| LMCA | 61.1% | — |
| Surface Evolver Bench | 95% | — |
| Bench to the Future 3 | 0.13 | — |
| Epoch Capabilities Index | 163.6 | — |
Math Claude Fable 5 leads
Claude Fable 5: 88.4 (#5), Olmo 2 0325 32b Instruct: 24.8 (#255)
| Benchmark | Claude Fable 5 | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Math | 1519 | 1208 |
| FrontierMath (Tiers 1-3) | 87% | — |
| FrontierMath Tier 4 | 90.2% | — |
| OTIS Mock AIME 2024-2025 | 100% | — |
| ProofBench | 95% | — |
| Omni-MATH | — | 16.1% |
| FrontierMath Erdős | 0% | — |
Knowledge Claude Fable 5 leads
Claude Fable 5: 62.3 (#22), Olmo 2 0325 32b Instruct: 19.2 (#274)
| Benchmark | Claude Fable 5 | Olmo 2 0325 32b Instruct |
|---|---|---|
| GPQA Diamond | 85.9% | — |
| SimpleQA Verified | 70.7% | — |
| MMLU-Pro | — | 41.4% |
| GPQA (HELM) | — | 28.7% |
| LMArena Expert | 1534 | — |
Multimodal Not comparable
Claude Fable 5: 45.6 (#14), Olmo 2 0325 32b Instruct: —
| Benchmark | Claude Fable 5 | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Vision | 1326 | — |
| Blueprint-Bench 2 | 38.6% | — |
| Furniture Assembly | 35.8% | — |
| LMArena Document | 1496 | — |
Multilingual Claude Fable 5 leads
Claude Fable 5: 57.6 (#8), Olmo 2 0325 32b Instruct: 35.0 (#243)
| Benchmark | Claude Fable 5 | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Non-English | 1483 | 1160 |
| LMArena Chinese | 1546 | 1192 |
| LMArena Russian | 1507 | 1187 |
| LMArena French | 1509 | — |
| LMArena German | 1486 | — |
| LMArena Japanese | 1507 | — |
| LMArena Korean | 1493 | — |
| LMArena Spanish | 1503 | — |
Instruction Following Claude Fable 5 leads
Claude Fable 5: 78.8 (#7), Olmo 2 0325 32b Instruct: 61.8 (#238)
| Benchmark | Claude Fable 5 | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Instruction Following | 1503 | 1186 |
| IFEval | — | 78% |
Long Context Claude Fable 5 leads
Claude Fable 5: 46.3 (#22), Olmo 2 0325 32b Instruct: 36.2 (#229)
| Benchmark | Claude Fable 5 | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Longer Query | 1510 | 1194 |
Writing & Preference Claude Fable 5 leads
Claude Fable 5: 76.1 (#5), Olmo 2 0325 32b Instruct: 42.3 (#231)
| Benchmark | Claude Fable 5 | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Text | 1491 | 1218 |
| LMArena Creative Writing | 1494 | 1199 |
| LMArena Multi-Turn | 1505 | 1221 |
| EQ-Bench Creative Writing | 1943 | — |
| WildBench | — | 73.4% |
| EQ-Bench 4 | 1340 | — |
Frequently asked questions
Is Claude Fable 5 better than Olmo 2 0325 32b Instruct?
Claude Fable 5 is the stronger model overall, scoring 66.3 to 32.2 on the Noometry Index.
Is Claude Fable 5 or Olmo 2 0325 32b Instruct better for coding?
Claude Fable 5 scores higher on coding benchmarks: 67.0 versus 34.6 in the Noometry coding category.
How many benchmarks do Claude Fable 5 and Olmo 2 0325 32b Instruct share?
11 benchmarks have published results for both models. Claude Fable 5 has 61 scored results on Noometry and Olmo 2 0325 32b Instruct has 16.