Model comparison
C4ai Aya Expanse 32b vs Claude Opus 4.7
Claude Opus 4.7 is the stronger model overall, scoring 58.3 to 35.9 on the Noometry Index.
Last verified . 18 shared benchmarks.
Summary
- They share 18 benchmarks with published results for both. C4ai Aya Expanse 32b scores higher in 0 categories and Claude Opus 4.7 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Claude Opus 4.7 leads 75.1 to 42.2.
- Claude Opus 4.7 accepts more context: 1M tokens versus 128K.
- C4ai Aya Expanse 32b has downloadable open weights; the other is API-only.
Side by side
| C4ai Aya Expanse 32b | Claude Opus 4.7 | |
|---|---|---|
| Provider | Cohere | Anthropic |
| Noometry Index | 35.9 | 58.3 |
| Released | 2024-10-24 | 2026-04-14 |
| Weights | Open | Proprietary |
| Context window | 128K | 1M |
| Max output | 4K | 128K |
| Input $ / M tokens | — | $5 |
| Output $ / M tokens | — | $25 |
| Results tracked | 18 | 66 |
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Category by category
Coding Claude Opus 4.7 leads
C4ai Aya Expanse 32b: 34.8 (#231), Claude Opus 4.7: 59.6 (#13)
| Benchmark | C4ai Aya Expanse 32b | Claude Opus 4.7 |
|---|---|---|
| LMArena Coding | 1197 | 1518 |
| SWE-bench Verified | — | 83.5% |
| FrontierCode | — | 38.5% |
| LMArena WebDev | — | 1558 |
| SciCode | — | 54.5% |
| GSO | — | 44.1% |
| WeirdML | — | 76.4% |
| MirrorCode | — | 31.1% |
| ALE-Bench | — | 1,323 |
Agentic & Tool Use Not comparable
C4ai Aya Expanse 32b: —, Claude Opus 4.7: 47.9 (#10)
| Benchmark | C4ai Aya Expanse 32b | Claude Opus 4.7 |
|---|---|---|
| Terminal-Bench | — | 80.2% |
| APEX-Agents | — | 49.2% |
| OSWorld 2.0 | — | 18.2% |
| τ²-bench Banking | — | 40.2% |
| PostTrainBench | — | 28.6% |
| ExploitBench | — | 26.5% |
| GBAEval | — | 43.8% |
| GDP.pdf | — | 21% |
| LMArena Search | — | 1233 |
| Vending-Bench 2 | — | 10,937 |
Reasoning Claude Opus 4.7 leads
C4ai Aya Expanse 32b: 23.3 (#180), Claude Opus 4.7: 53.8 (#29)
| Benchmark | C4ai Aya Expanse 32b | Claude Opus 4.7 |
|---|---|---|
| LMArena Hard Prompts | 1193 | 1506 |
| ARC-AGI-2 | — | 75.8% |
| SimpleBench | — | 61.7% |
| Kagi LLM Benchmark | — | 80.7% |
| NYT Connections (extended) | — | 39% |
| ARC-AGI-1 | — | 93.5% |
| CritPt | — | 12% |
| Chess Puzzles | — | 30% |
| Thematic Generalization | — | 72.8% |
| EBR-Bench | — | 19% |
| Mystery Game Puzzles | — | 28% |
| DTBench | — | 94.7% |
| LMCA | — | 52.2% |
| Epoch Capabilities Index | — | 156.25 |
| ForecastBench | — | 60.3 |
Math Claude Opus 4.7 leads
C4ai Aya Expanse 32b: 34.0 (#197), Claude Opus 4.7: 66.7 (#26)
| Benchmark | C4ai Aya Expanse 32b | Claude Opus 4.7 |
|---|---|---|
| LMArena Math | 1200 | 1499 |
| FrontierMath (Tiers 1-3) | — | 70.2% |
| FrontierMath Tier 4 | — | 31.7% |
| MathArena Final-Answer Competitions | — | 73.6% |
| OTIS Mock AIME 2024-2025 | — | 97.8% |
| ProofBench | — | 54% |
| FrontierMath (Feb 2025 set) | — | 43.8% |
| FrontierMath Tier 4 (v1) | — | 22.9% |
Knowledge Claude Opus 4.7 leads
C4ai Aya Expanse 32b: 33.2 (#206), Claude Opus 4.7: 62.6 (#23)
| Benchmark | C4ai Aya Expanse 32b | Claude Opus 4.7 |
|---|---|---|
| Vectara Hallucination Rate | 10.9% | 12% |
| LMArena Expert | 1182 | 1521 |
| GPQA Diamond | — | 90.2% |
| Humanity's Last Exam | — | 36.2% |
| SimpleQA Verified | — | 51.7% |
Multimodal Not comparable
C4ai Aya Expanse 32b: —, Claude Opus 4.7: 41.2 (#38)
| Benchmark | C4ai Aya Expanse 32b | Claude Opus 4.7 |
|---|---|---|
| LMArena Vision | — | 1316 |
| Blueprint-Bench 2 | — | 24.5% |
| Furniture Assembly | — | 33.3% |
| LMArena Document | — | 1495 |
Multilingual Claude Opus 4.7 leads
C4ai Aya Expanse 32b: 38.4 (#230), Claude Opus 4.7: 57.3 (#10)
| Benchmark | C4ai Aya Expanse 32b | Claude Opus 4.7 |
|---|---|---|
| LMArena Non-English | 1213 | 1480 |
| LMArena Chinese | 1211 | 1531 |
| LMArena French | 1248 | 1503 |
| LMArena German | 1199 | 1495 |
| LMArena Japanese | 1163 | 1472 |
| LMArena Korean | 1158 | 1464 |
| LMArena Russian | 1227 | 1494 |
| LMArena Spanish | 1193 | 1495 |
Instruction Following Claude Opus 4.7 leads
C4ai Aya Expanse 32b: 62.6 (#237), Claude Opus 4.7: 78.4 (#10)
| Benchmark | C4ai Aya Expanse 32b | Claude Opus 4.7 |
|---|---|---|
| LMArena Instruction Following | 1196 | 1498 |
Long Context Claude Opus 4.7 leads
C4ai Aya Expanse 32b: 37.2 (#220), Claude Opus 4.7: 46.2 (#25)
| Benchmark | C4ai Aya Expanse 32b | Claude Opus 4.7 |
|---|---|---|
| LMArena Longer Query | 1228 | 1505 |
Writing & Preference Claude Opus 4.7 leads
C4ai Aya Expanse 32b: 42.2 (#235), Claude Opus 4.7: 75.1 (#8)
| Benchmark | C4ai Aya Expanse 32b | Claude Opus 4.7 |
|---|---|---|
| LMArena Text | 1224 | 1490 |
| LMArena Creative Writing | 1200 | 1486 |
| LMArena Multi-Turn | 1190 | 1505 |
| EQ-Bench Creative Writing | — | 1914 |
| EQ-Bench 4 | — | 1311 |
Frequently asked questions
Is C4ai Aya Expanse 32b better than Claude Opus 4.7?
Claude Opus 4.7 is the stronger model overall, scoring 58.3 to 35.9 on the Noometry Index.
Is C4ai Aya Expanse 32b or Claude Opus 4.7 better for coding?
Claude Opus 4.7 scores higher on coding benchmarks: 59.6 versus 34.8 in the Noometry coding category.
Which has the bigger context window?
Claude Opus 4.7 does, with 1M tokens against 128K.
How many benchmarks do C4ai Aya Expanse 32b and Claude Opus 4.7 share?
18 benchmarks have published results for both models. C4ai Aya Expanse 32b has 18 scored results on Noometry and Claude Opus 4.7 has 66.