Model comparison
GPT-5-Codex vs Olmo 3.1 32b Instruct
Olmo 3.1 32b Instruct is the stronger model overall, scoring 39.4 to 37.9 on the Noometry Index.
Last verified . 0 shared benchmarks.
Allen Institute for AI (Ai2)Summary
- The widest gap is in reasoning, where GPT-5-Codex leads 30.9 to 26.4.
- Olmo 3.1 32b Instruct has downloadable open weights; the other is API-only.
Side by side
| GPT-5-Codex | Olmo 3.1 32b Instruct | |
|---|---|---|
| Provider | OpenAI | Allen Institute for AI (Ai2) |
| Noometry Index | 37.9 | 39.4 |
| Released | 2025-09-15 | — |
| Weights | Proprietary | Open |
| Context window | 400K | — |
| Max output | 128K | — |
| Input $ / M tokens | $1.25 | — |
| Output $ / M tokens | $10 | — |
| Results tracked | 3 | 16 |
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Category by category
Coding GPT-5-Codex leads
GPT-5-Codex: 42.4 (#103), Olmo 3.1 32b Instruct: 39.5 (#157)
| Benchmark | GPT-5-Codex | Olmo 3.1 32b Instruct |
|---|---|---|
| WeirdML | 54.5% | — |
| LMArena Coding | — | 1347 |
Agentic & Tool Use Not comparable
GPT-5-Codex: 31.0 (#72), Olmo 3.1 32b Instruct: —
| Benchmark | GPT-5-Codex | Olmo 3.1 32b Instruct |
|---|---|---|
| Terminal-Bench | 44.3% | — |
Reasoning GPT-5-Codex leads
GPT-5-Codex: 30.9 (#83), Olmo 3.1 32b Instruct: 26.4 (#132)
| Benchmark | GPT-5-Codex | Olmo 3.1 32b Instruct |
|---|---|---|
| Kagi LLM Benchmark | 70.3% | — |
| LMArena Hard Prompts | — | 1322 |
Math Not comparable
GPT-5-Codex: —, Olmo 3.1 32b Instruct: 36.3 (#167)
| Benchmark | GPT-5-Codex | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Math | — | 1305 |
Knowledge Not comparable
GPT-5-Codex: —, Olmo 3.1 32b Instruct: 36.1 (#175)
| Benchmark | GPT-5-Codex | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Expert | — | 1308 |
Multilingual Not comparable
GPT-5-Codex: —, Olmo 3.1 32b Instruct: 42.6 (#191)
| Benchmark | GPT-5-Codex | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Non-English | — | 1275 |
| LMArena Chinese | — | 1304 |
| LMArena French | — | 1328 |
| LMArena German | — | 1282 |
| LMArena Korean | — | 1206 |
| LMArena Russian | — | 1268 |
| LMArena Spanish | — | 1336 |
Instruction Following Not comparable
GPT-5-Codex: —, Olmo 3.1 32b Instruct: 68.6 (#187)
| Benchmark | GPT-5-Codex | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Instruction Following | — | 1299 |
Long Context Not comparable
GPT-5-Codex: —, Olmo 3.1 32b Instruct: 39.9 (#166)
| Benchmark | GPT-5-Codex | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Longer Query | — | 1312 |
Writing & Preference Not comparable
GPT-5-Codex: —, Olmo 3.1 32b Instruct: 50.2 (#185)
| Benchmark | GPT-5-Codex | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Text | — | 1311 |
| LMArena Creative Writing | — | 1264 |
| LMArena Multi-Turn | — | 1309 |
Frequently asked questions
Is GPT-5-Codex better than Olmo 3.1 32b Instruct?
Olmo 3.1 32b Instruct is the stronger model overall, scoring 39.4 to 37.9 on the Noometry Index.
Is GPT-5-Codex or Olmo 3.1 32b Instruct better for coding?
GPT-5-Codex scores higher on coding benchmarks: 42.4 versus 39.5 in the Noometry coding category.
How many benchmarks do GPT-5-Codex and Olmo 3.1 32b Instruct share?
0 benchmarks have published results for both models. GPT-5-Codex has 3 scored results on Noometry and Olmo 3.1 32b Instruct has 16.