Model comparison
GPT-5.3 Chat vs Olmo 2 0325 32b Instruct
GPT-5.3 Chat is the stronger model overall, scoring 42.1 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. GPT-5.3 Chat 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 writing & preference, where GPT-5.3 Chat leads 63.3 to 42.3.
- Olmo 2 0325 32b Instruct has downloadable open weights; the other is API-only.
Side by side
| GPT-5.3 Chat | Olmo 2 0325 32b Instruct | |
|---|---|---|
| Provider | OpenAI | Allen Institute for AI (Ai2) |
| Noometry Index | 42.1 | 32.2 |
| Released | 2026-03-03 | — |
| Weights | Proprietary | Open |
| Context window | 128K | — |
| Max output | 16K | — |
| Input $ / M tokens | $1.75 | — |
| Output $ / M tokens | $14 | — |
| Results tracked | 18 | 16 |
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Category by category
Coding GPT-5.3 Chat leads
GPT-5.3 Chat: 40.8 (#124), Olmo 2 0325 32b Instruct: 34.6 (#222)
| Benchmark | GPT-5.3 Chat | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Coding | 1408 | 1210 |
Reasoning GPT-5.3 Chat leads
GPT-5.3 Chat: 27.3 (#105), Olmo 2 0325 32b Instruct: 22.6 (#174)
| Benchmark | GPT-5.3 Chat | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Hard Prompts | 1399 | 1208 |
Math GPT-5.3 Chat leads
GPT-5.3 Chat: 35.4 (#146), Olmo 2 0325 32b Instruct: 24.8 (#255)
| Benchmark | GPT-5.3 Chat | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Math | 1389 | 1208 |
| Omni-MATH | — | 16.1% |
Knowledge GPT-5.3 Chat leads
GPT-5.3 Chat: 38.2 (#137), Olmo 2 0325 32b Instruct: 19.2 (#274)
| Benchmark | GPT-5.3 Chat | Olmo 2 0325 32b Instruct |
|---|---|---|
| MMLU-Pro | — | 41.4% |
| GPQA (HELM) | — | 28.7% |
| LMArena Expert | 1397 | — |
Multilingual GPT-5.3 Chat leads
GPT-5.3 Chat: 50.5 (#119), Olmo 2 0325 32b Instruct: 35.0 (#243)
| Benchmark | GPT-5.3 Chat | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Non-English | 1383 | 1160 |
| LMArena Chinese | 1433 | 1192 |
| LMArena Russian | 1400 | 1187 |
| LMArena French | 1398 | — |
| LMArena German | 1384 | — |
| LMArena Japanese | 1351 | — |
| LMArena Korean | 1347 | — |
| LMArena Spanish | 1371 | — |
Instruction Following GPT-5.3 Chat leads
GPT-5.3 Chat: 73.0 (#124), Olmo 2 0325 32b Instruct: 61.8 (#238)
| Benchmark | GPT-5.3 Chat | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Instruction Following | 1378 | 1186 |
| IFEval | — | 78% |
Long Context GPT-5.3 Chat leads
GPT-5.3 Chat: 42.6 (#115), Olmo 2 0325 32b Instruct: 36.2 (#229)
| Benchmark | GPT-5.3 Chat | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Longer Query | 1396 | 1194 |
Writing & Preference GPT-5.3 Chat leads
GPT-5.3 Chat: 63.3 (#65), Olmo 2 0325 32b Instruct: 42.3 (#231)
| Benchmark | GPT-5.3 Chat | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Text | 1389 | 1218 |
| LMArena Creative Writing | 1356 | 1199 |
| LMArena Multi-Turn | 1413 | 1221 |
| EQ-Bench Creative Writing | 1690 | — |
| WildBench | — | 73.4% |
Frequently asked questions
Is GPT-5.3 Chat better than Olmo 2 0325 32b Instruct?
GPT-5.3 Chat is the stronger model overall, scoring 42.1 to 32.2 on the Noometry Index.
Is GPT-5.3 Chat or Olmo 2 0325 32b Instruct better for coding?
GPT-5.3 Chat scores higher on coding benchmarks: 40.8 versus 34.6 in the Noometry coding category.
How many benchmarks do GPT-5.3 Chat and Olmo 2 0325 32b Instruct share?
11 benchmarks have published results for both models. GPT-5.3 Chat has 18 scored results on Noometry and Olmo 2 0325 32b Instruct has 16.