Model comparison
GPT-4 Turbo vs Olmo 3 32b Think
Olmo 3 32b Think is the stronger model overall, scoring 38.7 to 30.5 on the Noometry Index.
Last verified . 14 shared benchmarks.
Summary
- They share 14 benchmarks with published results for both. GPT-4 Turbo scores higher in 0 categories and Olmo 3 32b Think in 8 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where Olmo 3 32b Think leads 36.5 to 9.0.
- Olmo 3 32b Think has downloadable open weights; the other is API-only.
Side by side
| GPT-4 Turbo | Olmo 3 32b Think | |
|---|---|---|
| Provider | OpenAI | Allen Institute for AI (Ai2) |
| Noometry Index | 30.5 | 38.7 |
| Released | 2023-11-06 | — |
| Weights | Proprietary | Open |
| Context window | 128K | — |
| Max output | 4K | — |
| Input $ / M tokens | $10 | — |
| Output $ / M tokens | $30 | — |
| Results tracked | 36 | 14 |
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Category by category
Coding Olmo 3 32b Think leads
GPT-4 Turbo: 33.8 (#249), Olmo 3 32b Think: 38.6 (#172)
| Benchmark | GPT-4 Turbo | Olmo 3 32b Think |
|---|---|---|
| LMArena Coding | 1268 | 1319 |
| WeirdML | 18% | — |
| BigCodeBench Instruct | 48.2% | — |
| BigCodeBench Complete | 58.2% | — |
| HumanEval+ | 86.6% | — |
| MBPP+ | 73.3% | — |
Agentic & Tool Use Not comparable
GPT-4 Turbo: —, Olmo 3 32b Think: —
| Benchmark | GPT-4 Turbo | Olmo 3 32b Think |
|---|---|---|
| METR Time Horizons | 36.7% | — |
Reasoning Olmo 3 32b Think leads
GPT-4 Turbo: 15.3 (#317), Olmo 3 32b Think: 25.9 (#140)
| Benchmark | GPT-4 Turbo | Olmo 3 32b Think |
|---|---|---|
| LMArena Hard Prompts | 1251 | 1302 |
| SimpleBench | 25.1% | — |
| Chess Puzzles | 6% | — |
| DTBench | 61.6% | — |
| LMCA | 9.8% | — |
| Epoch Capabilities Index | 127.25 | — |
| ForecastBench | 59.4 | — |
Math Olmo 3 32b Think leads
GPT-4 Turbo: 9.0 (#322), Olmo 3 32b Think: 36.5 (#165)
| Benchmark | GPT-4 Turbo | Olmo 3 32b Think |
|---|---|---|
| LMArena Math | 1272 | 1316 |
| FrontierMath (Tiers 1-3) | 0.7% | — |
| OTIS Mock AIME 2024-2025 | 6.7% | — |
| MATH Level 5 | 46.7% | — |
Knowledge Olmo 3 32b Think leads
GPT-4 Turbo: 24.3 (#268), Olmo 3 32b Think: 35.0 (#190)
| Benchmark | GPT-4 Turbo | Olmo 3 32b Think |
|---|---|---|
| LMArena Expert | 1223 | 1273 |
| GPQA Diamond | 46.6% | — |
| Confabulations | 28.4% | — |
| MMLU | 81.3% | — |
Multimodal Not comparable
GPT-4 Turbo: 30.6 (#110), Olmo 3 32b Think: —
| Benchmark | GPT-4 Turbo | Olmo 3 32b Think |
|---|---|---|
| LMArena Vision | 1090 | — |
Multilingual Too close to call
GPT-4 Turbo: 40.5 (#216), Olmo 3 32b Think: 41.2 (#210)
| Benchmark | GPT-4 Turbo | Olmo 3 32b Think |
|---|---|---|
| LMArena Non-English | 1245 | 1255 |
| LMArena Chinese | 1242 | 1300 |
| LMArena French | 1276 | 1291 |
| LMArena German | 1259 | 1290 |
| LMArena Russian | 1259 | 1254 |
| LMArena Japanese | 1194 | — |
| LMArena Korean | 1187 | — |
| LMArena Spanish | 1260 | — |
Instruction Following Olmo 3 32b Think leads
GPT-4 Turbo: 65.8 (#216), Olmo 3 32b Think: 67.2 (#198)
| Benchmark | GPT-4 Turbo | Olmo 3 32b Think |
|---|---|---|
| LMArena Instruction Following | 1249 | 1275 |
Long Context Olmo 3 32b Think leads
GPT-4 Turbo: 38.0 (#206), Olmo 3 32b Think: 39.4 (#182)
| Benchmark | GPT-4 Turbo | Olmo 3 32b Think |
|---|---|---|
| LMArena Longer Query | 1254 | 1296 |
Writing & Preference Olmo 3 32b Think leads
GPT-4 Turbo: 47.7 (#206), Olmo 3 32b Think: 49.1 (#193)
| Benchmark | GPT-4 Turbo | Olmo 3 32b Think |
|---|---|---|
| LMArena Text | 1272 | 1300 |
| LMArena Creative Writing | 1269 | 1256 |
| LMArena Multi-Turn | 1267 | 1290 |
Frequently asked questions
Is GPT-4 Turbo better than Olmo 3 32b Think?
Olmo 3 32b Think is the stronger model overall, scoring 38.7 to 30.5 on the Noometry Index.
Is GPT-4 Turbo or Olmo 3 32b Think better for coding?
Olmo 3 32b Think scores higher on coding benchmarks: 38.6 versus 33.8 in the Noometry coding category.
How many benchmarks do GPT-4 Turbo and Olmo 3 32b Think share?
14 benchmarks have published results for both models. GPT-4 Turbo has 36 scored results on Noometry and Olmo 3 32b Think has 14.