Model comparison
GPT-5 Nano vs Olmo 3.1 32b Instruct
Olmo 3.1 32b Instruct is the stronger model overall, scoring 38.8 to 33.4 on the Noometry Index.
Last verified . 15 shared benchmarks.
Allen Institute for AI (Ai2)Summary
- They share 15 benchmarks with published results for both. GPT-5 Nano scores higher in 3 categories and Olmo 3.1 32b Instruct in 5 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Olmo 3.1 32b Instruct leads 50.4 to 39.4.
- Olmo 3.1 32b Instruct has downloadable open weights; the other is API-only.
Side by side
| GPT-5 Nano | Olmo 3.1 32b Instruct | |
|---|---|---|
| Provider | OpenAI | Allen Institute for AI (Ai2) |
| Noometry Index | 33.4 | 38.8 |
| Released | 2025-08-07 | — |
| Weights | Proprietary | Open |
| Context window | 400K | — |
| Max output | 128K | — |
| Input $ / M tokens | $0.05 | — |
| Output $ / M tokens | $0.40 | — |
| Results tracked | 48 | 16 |
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Category by category
Coding Olmo 3.1 32b Instruct leads
GPT-5 Nano: 33.3 (#248), Olmo 3.1 32b Instruct: 38.9 (#154)
| Benchmark | GPT-5 Nano | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Coding | 1351 | 1346 |
| SWE-bench Verified (bash only) | 34.8% | — |
| WeirdML | 38.1% | — |
| ALE-Bench | 718.67 | — |
Agentic & Tool Use Not comparable
GPT-5 Nano: 25.6 (#99), Olmo 3.1 32b Instruct: —
| Benchmark | GPT-5 Nano | Olmo 3.1 32b Instruct |
|---|---|---|
| Terminal-Bench | 21.8% | — |
| Berkeley Function Calling Leaderboard | 51.5% | — |
Reasoning Olmo 3.1 32b Instruct leads
GPT-5 Nano: 16.4 (#291), Olmo 3.1 32b Instruct: 25.4 (#131)
| Benchmark | GPT-5 Nano | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Hard Prompts | 1329 | 1322 |
| ARC-AGI-2 | 2.6% | — |
| Kagi LLM Benchmark | 62.2% | — |
| ARC-AGI-1 | 20.7% | — |
| Chess Puzzles | 27% | — |
| Mystery Game Puzzles | 9% | — |
| DTBench | 62.7% | — |
| LMCA | 7.9% | — |
| Epoch Capabilities Index | 139.39 | — |
| ForecastBench | 59.1 | — |
Math Olmo 3.1 32b Instruct leads
GPT-5 Nano: 29.1 (#221), Olmo 3.1 32b Instruct: 33.6 (#169)
| Benchmark | GPT-5 Nano | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Math | 1318 | 1305 |
| FrontierMath (Tiers 1-3) | 20% | — |
| FrontierMath Tier 4 | 2.4% | — |
| OTIS Mock AIME 2024-2025 | 81.1% | — |
| ProofBench | 12% | — |
| Omni-MATH | 54.6% | — |
| MATH Level 5 | 95.2% | — |
| FrontierMath (Feb 2025 set) | 8.3% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |
Knowledge Too close to call
GPT-5 Nano: 35.8 (#166), Olmo 3.1 32b Instruct: 35.4 (#175)
| Benchmark | GPT-5 Nano | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Expert | 1321 | 1307 |
| GPQA Diamond | 69.4% | — |
| SimpleQA Verified | 11.7% | — |
| MMLU-Pro | 77.8% | — |
| Vectara Hallucination Rate | 10.5% | — |
| GPQA (HELM) | 67.9% | — |
Multimodal Not comparable
GPT-5 Nano: 30.7 (#102), Olmo 3.1 32b Instruct: —
| Benchmark | GPT-5 Nano | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Vision | 1159 | — |
| VPCT | 37.2% | — |
Multilingual GPT-5 Nano leads
GPT-5 Nano: 45.5 (#167), Olmo 3.1 32b Instruct: 42.8 (#185)
| Benchmark | GPT-5 Nano | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Non-English | 1313 | 1275 |
| LMArena Chinese | 1355 | 1304 |
| LMArena German | 1329 | 1283 |
| LMArena Korean | 1269 | 1206 |
| LMArena Russian | 1296 | 1268 |
| LMArena Spanish | 1360 | 1337 |
| LMArena French | — | 1328 |
Instruction Following GPT-5 Nano leads
GPT-5 Nano: 75.2 (#72), Olmo 3.1 32b Instruct: 68.8 (#182)
| Benchmark | GPT-5 Nano | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Instruction Following | 1306 | 1298 |
| IFEval | 93.2% | — |
Long Context Olmo 3.1 32b Instruct leads
GPT-5 Nano: 31.3 (#275), Olmo 3.1 32b Instruct: 39.9 (#161)
| Benchmark | GPT-5 Nano | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Longer Query | 1313 | 1312 |
| Fiction.LiveBench | 44.4% | — |
Writing & Preference Olmo 3.1 32b Instruct leads
GPT-5 Nano: 39.4 (#244), Olmo 3.1 32b Instruct: 50.4 (#179)
| Benchmark | GPT-5 Nano | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Text | 1320 | 1311 |
| LMArena Creative Writing | 1250 | 1264 |
| LMArena Multi-Turn | 1311 | 1309 |
| EQ-Bench Creative Writing | 705 | — |
| WildBench | 80.6% | — |
Frequently asked questions
Is GPT-5 Nano better than Olmo 3.1 32b Instruct?
Olmo 3.1 32b Instruct is the stronger model overall, scoring 38.8 to 33.4 on the Noometry Index.
Is GPT-5 Nano or Olmo 3.1 32b Instruct better for coding?
Olmo 3.1 32b Instruct scores higher on coding benchmarks: 38.9 versus 33.3 in the Noometry coding category.
How many benchmarks do GPT-5 Nano and Olmo 3.1 32b Instruct share?
15 benchmarks have published results for both models. GPT-5 Nano has 48 scored results on Noometry and Olmo 3.1 32b Instruct has 16.