Model comparison
GPT-5.1-Codex vs Olmo 2 0325 32b Instruct
GPT-5.1-Codex is the stronger model overall, scoring 38.6 to 32.7 on the Noometry Index.
Last verified . 0 shared benchmarks.
Allen Institute for AI (Ai2)Summary
- The widest gap is in coding, where GPT-5.1-Codex leads 41.9 to 35.2.
- Olmo 2 0325 32b Instruct has downloadable open weights; the other is API-only.
Side by side
| GPT-5.1-Codex | Olmo 2 0325 32b Instruct | |
|---|---|---|
| Provider | OpenAI | Allen Institute for AI (Ai2) |
| Noometry Index | 38.6 | 32.7 |
| Released | 2025-11-12 | — |
| Weights | Proprietary | Open |
| Context window | 400K | — |
| Max output | 128K | — |
| Input $ / M tokens | $1.25 | — |
| Output $ / M tokens | $10 | — |
| Results tracked | 6 | 16 |
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Category by category
Coding GPT-5.1-Codex leads
GPT-5.1-Codex: 41.9 (#116), Olmo 2 0325 32b Instruct: 35.2 (#227)
| Benchmark | GPT-5.1-Codex | Olmo 2 0325 32b Instruct |
|---|---|---|
| SWE-bench Verified (bash only) | 66% | — |
| LMArena WebDev | 1337 | — |
| LMArena Coding | — | 1210 |
| ALE-Bench | 1,245 | — |
Agentic & Tool Use Not comparable
GPT-5.1-Codex: 38.0 (#33), Olmo 2 0325 32b Instruct: —
| Benchmark | GPT-5.1-Codex | Olmo 2 0325 32b Instruct |
|---|---|---|
| Terminal-Bench | 60.4% | — |
| METR Time Horizons | 70.8% | — |
Reasoning Not comparable
GPT-5.1-Codex: —, Olmo 2 0325 32b Instruct: 23.6 (#175)
| Benchmark | GPT-5.1-Codex | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Hard Prompts | — | 1208 |
Math GPT-5.1-Codex leads
GPT-5.1-Codex: 30.3 (#235), Olmo 2 0325 32b Instruct: 26.8 (#255)
| Benchmark | GPT-5.1-Codex | Olmo 2 0325 32b Instruct |
|---|---|---|
| ProofBench | 9% | — |
| Omni-MATH | — | 16.1% |
| LMArena Math | — | 1208 |
Knowledge Not comparable
GPT-5.1-Codex: —, Olmo 2 0325 32b Instruct: 19.5 (#279)
| Benchmark | GPT-5.1-Codex | Olmo 2 0325 32b Instruct |
|---|---|---|
| MMLU-Pro | — | 41.4% |
| GPQA (HELM) | — | 28.7% |
Multilingual Not comparable
GPT-5.1-Codex: —, Olmo 2 0325 32b Instruct: 34.8 (#248)
| Benchmark | GPT-5.1-Codex | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Non-English | — | 1160 |
| LMArena Chinese | — | 1192 |
| LMArena Russian | — | 1187 |
Instruction Following Not comparable
GPT-5.1-Codex: —, Olmo 2 0325 32b Instruct: 61.5 (#244)
| Benchmark | GPT-5.1-Codex | Olmo 2 0325 32b Instruct |
|---|---|---|
| IFEval | — | 78% |
| LMArena Instruction Following | — | 1186 |
Long Context Not comparable
GPT-5.1-Codex: —, Olmo 2 0325 32b Instruct: 36.2 (#234)
| Benchmark | GPT-5.1-Codex | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Longer Query | — | 1194 |
Writing & Preference Not comparable
GPT-5.1-Codex: —, Olmo 2 0325 32b Instruct: 42.1 (#236)
| Benchmark | GPT-5.1-Codex | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Text | — | 1218 |
| LMArena Creative Writing | — | 1199 |
| WildBench | — | 73.4% |
| LMArena Multi-Turn | — | 1221 |
Frequently asked questions
Is GPT-5.1-Codex better than Olmo 2 0325 32b Instruct?
GPT-5.1-Codex is the stronger model overall, scoring 38.6 to 32.7 on the Noometry Index.
Is GPT-5.1-Codex or Olmo 2 0325 32b Instruct better for coding?
GPT-5.1-Codex scores higher on coding benchmarks: 41.9 versus 35.2 in the Noometry coding category.
How many benchmarks do GPT-5.1-Codex and Olmo 2 0325 32b Instruct share?
0 benchmarks have published results for both models. GPT-5.1-Codex has 6 scored results on Noometry and Olmo 2 0325 32b Instruct has 16.