Model comparison
Llama 3.1-70B vs Olmo 3.1 32b Instruct
Olmo 3.1 32b Instruct is the stronger model overall, scoring 39.4 to 29.6 on the Noometry Index.
Last verified . 16 shared benchmarks.
Summary
- They share 16 benchmarks with published results for both. Llama 3.1-70B scores higher in 0 categories and Olmo 3.1 32b Instruct in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Olmo 3.1 32b Instruct leads 36.3 to 13.5.
Side by side
| Llama 3.1-70B | Olmo 3.1 32b Instruct | |
|---|---|---|
| Provider | Meta | Allen Institute for AI (Ai2) |
| Noometry Index | 29.6 | 39.4 |
| Released | 2024-07-23 | — |
| Weights | Open | Open |
| Context window | 128K | — |
| Max output | 4K | — |
| Input $ / M tokens | $0.40 | — |
| Output $ / M tokens | $0.40 | — |
| Results tracked | 35 | 16 |
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Category by category
Coding Olmo 3.1 32b Instruct leads
Llama 3.1-70B: 30.3 (#296), Olmo 3.1 32b Instruct: 39.5 (#157)
| Benchmark | Llama 3.1-70B | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Coding | 1260 | 1347 |
| WeirdML | 9% | — |
| BigCodeBench Instruct | 46.1% | — |
| BigCodeBench Complete | 54.8% | — |
Agentic & Tool Use Not comparable
Llama 3.1-70B: 25.1 (#112), Olmo 3.1 32b Instruct: —
| Benchmark | Llama 3.1-70B | Olmo 3.1 32b Instruct |
|---|---|---|
| TheAgentCompany | 6.9% | — |
| BALROG | 27.9% | — |
Reasoning Olmo 3.1 32b Instruct leads
Llama 3.1-70B: 21.6 (#220), Olmo 3.1 32b Instruct: 26.4 (#132)
| Benchmark | Llama 3.1-70B | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Hard Prompts | 1241 | 1322 |
| DTBench | 60% | — |
| LMCA | 14.8% | — |
| Epoch Capabilities Index | 125.92 | — |
Math Olmo 3.1 32b Instruct leads
Llama 3.1-70B: 13.5 (#304), Olmo 3.1 32b Instruct: 36.3 (#167)
| Benchmark | Llama 3.1-70B | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Math | 1252 | 1305 |
| OTIS Mock AIME 2024-2025 | 3.6% | — |
| Omni-MATH | 21% | — |
| MATH Level 5 | 36.7% | — |
Knowledge Olmo 3.1 32b Instruct leads
Llama 3.1-70B: 24.2 (#269), Olmo 3.1 32b Instruct: 36.1 (#175)
| Benchmark | Llama 3.1-70B | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Expert | 1209 | 1308 |
| GPQA Diamond | 44.2% | — |
| MMLU-Pro | 65.3% | — |
| GPQA (HELM) | 42.6% | — |
| MMLU | 80.1% | — |
Multilingual Olmo 3.1 32b Instruct leads
Llama 3.1-70B: 38.8 (#225), Olmo 3.1 32b Instruct: 42.6 (#191)
| Benchmark | Llama 3.1-70B | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Non-English | 1219 | 1275 |
| LMArena Chinese | 1215 | 1304 |
| LMArena French | 1261 | 1328 |
| LMArena German | 1222 | 1282 |
| LMArena Korean | 1140 | 1206 |
| LMArena Russian | 1234 | 1268 |
| LMArena Spanish | 1253 | 1336 |
| LMArena Japanese | 1132 | — |
Instruction Following Olmo 3.1 32b Instruct leads
Llama 3.1-70B: 65.3 (#223), Olmo 3.1 32b Instruct: 68.6 (#187)
| Benchmark | Llama 3.1-70B | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Instruction Following | 1231 | 1299 |
| IFEval | 82.1% | — |
Long Context Olmo 3.1 32b Instruct leads
Llama 3.1-70B: 37.6 (#214), Olmo 3.1 32b Instruct: 39.9 (#166)
| Benchmark | Llama 3.1-70B | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Longer Query | 1241 | 1312 |
Writing & Preference Olmo 3.1 32b Instruct leads
Llama 3.1-70B: 35.4 (#267), Olmo 3.1 32b Instruct: 50.2 (#185)
| Benchmark | Llama 3.1-70B | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Text | 1261 | 1311 |
| LMArena Creative Writing | 1232 | 1264 |
| LMArena Multi-Turn | 1256 | 1309 |
| EQ-Bench Creative Writing | 784 | — |
| WildBench | 75.8% | — |
Frequently asked questions
Is Llama 3.1-70B better than Olmo 3.1 32b Instruct?
Olmo 3.1 32b Instruct is the stronger model overall, scoring 39.4 to 29.6 on the Noometry Index.
Is Llama 3.1-70B or Olmo 3.1 32b Instruct better for coding?
Olmo 3.1 32b Instruct scores higher on coding benchmarks: 39.5 versus 30.3 in the Noometry coding category.
How many benchmarks do Llama 3.1-70B and Olmo 3.1 32b Instruct share?
16 benchmarks have published results for both models. Llama 3.1-70B has 35 scored results on Noometry and Olmo 3.1 32b Instruct has 16.