Model comparison
Olmo 7b Instruct vs Qwen3.8 Max
Qwen3.8 Max is the stronger model overall, scoring 56.8 to 30.3 on the Noometry Index.
Last verified . 10 shared benchmarks.
Allen Institute for AI (Ai2)
Alibaba (Qwen)Summary
- They share 10 benchmarks with published results for both. Olmo 7b Instruct scores higher in 0 categories and Qwen3.8 Max in 6 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen3.8 Max leads 73.2 to 30.2.
- Olmo 7b Instruct has downloadable open weights; the other is API-only.
Side by side
| Olmo 7b Instruct | Qwen3.8 Max | |
|---|---|---|
| Provider | Allen Institute for AI (Ai2) | Alibaba (Qwen) |
| Noometry Index | 30.3 | 56.8 |
| Released | — | 2026-08-02 |
| Weights | Open | Proprietary |
| Context window | — | 1M |
| Max output | — | 131K |
| Input $ / M tokens | — | $2 |
| Output $ / M tokens | — | $6 |
| Results tracked | 10 | 39 |
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Category by category
Coding Qwen3.8 Max leads
Olmo 7b Instruct: 29.6 (#303), Qwen3.8 Max: 53.5 (#29)
| Benchmark | Olmo 7b Instruct | Qwen3.8 Max |
|---|---|---|
| LMArena Coding | 1016 | 1502 |
| DeepSWE | — | 57.5% |
| LMArena WebDev | — | 1674 |
| FrontierSWE | — | 17.8% |
| SciCode | — | 53.2% |
Agentic & Tool Use Not comparable
Olmo 7b Instruct: —, Qwen3.8 Max: 45.4 (#14)
| Benchmark | Olmo 7b Instruct | Qwen3.8 Max |
|---|---|---|
| APEX-Agents | — | 63.3% |
| τ²-bench Banking | — | 55.1% |
| GDP.pdf | — | 23.2% |
Reasoning Qwen3.8 Max leads
Olmo 7b Instruct: 18.8 (#274), Qwen3.8 Max: 54.4 (#26)
| Benchmark | Olmo 7b Instruct | Qwen3.8 Max |
|---|---|---|
| LMArena Hard Prompts | 993 | 1496 |
| NYT Connections (extended) | — | 88.3% |
| CritPt | — | 20% |
| Chess Puzzles | — | 40% |
| Mystery Game Puzzles | — | 38% |
| DTBench | — | 92% |
| LMCA | — | 46.2% |
| Epoch Capabilities Index | — | 156.41 |
Math Qwen3.8 Max leads
Olmo 7b Instruct: 30.2 (#237), Qwen3.8 Max: 73.2 (#20)
| Benchmark | Olmo 7b Instruct | Qwen3.8 Max |
|---|---|---|
| LMArena Math | 1018 | 1499 |
| FrontierMath (Tiers 1-3) | — | 74.7% |
| FrontierMath Tier 4 | — | 46.3% |
| OTIS Mock AIME 2024-2025 | — | 100% |
| ProofBench | — | 58% |
Knowledge Not comparable
Olmo 7b Instruct: —, Qwen3.8 Max: 61.7 (#27)
| Benchmark | Olmo 7b Instruct | Qwen3.8 Max |
|---|---|---|
| GPQA Diamond | — | 92.7% |
| SimpleQA Verified | — | 47.3% |
| LMArena Expert | — | 1507 |
Multimodal Not comparable
Olmo 7b Instruct: —, Qwen3.8 Max: 37.2 (#75)
| Benchmark | Olmo 7b Instruct | Qwen3.8 Max |
|---|---|---|
| LMArena Vision | — | 1314 |
| Furniture Assembly | — | 20% |
Multilingual Qwen3.8 Max leads
Olmo 7b Instruct: 24.0 (#291), Qwen3.8 Max: 56.7 (#18)
| Benchmark | Olmo 7b Instruct | Qwen3.8 Max |
|---|---|---|
| LMArena Non-English | 977 | 1472 |
| LMArena Chinese | 1014 | 1538 |
| LMArena Russian | 947 | 1481 |
| LMArena French | — | 1503 |
| LMArena German | — | 1483 |
| LMArena Japanese | — | 1467 |
| LMArena Korean | — | 1461 |
| LMArena Spanish | — | 1492 |
Instruction Following Qwen3.8 Max leads
Olmo 7b Instruct: 49.0 (#301), Qwen3.8 Max: 77.6 (#17)
| Benchmark | Olmo 7b Instruct | Qwen3.8 Max |
|---|---|---|
| LMArena Instruction Following | 978 | 1479 |
Long Context Not comparable
Olmo 7b Instruct: —, Qwen3.8 Max: 45.6 (#31)
| Benchmark | Olmo 7b Instruct | Qwen3.8 Max |
|---|---|---|
| LMArena Longer Query | — | 1489 |
Writing & Preference Qwen3.8 Max leads
Olmo 7b Instruct: 25.8 (#303), Qwen3.8 Max: 67.1 (#30)
| Benchmark | Olmo 7b Instruct | Qwen3.8 Max |
|---|---|---|
| LMArena Text | 1032 | 1483 |
| LMArena Creative Writing | 990 | 1479 |
| LMArena Multi-Turn | 1007 | 1489 |
Frequently asked questions
Is Olmo 7b Instruct better than Qwen3.8 Max?
Qwen3.8 Max is the stronger model overall, scoring 56.8 to 30.3 on the Noometry Index.
Is Olmo 7b Instruct or Qwen3.8 Max better for coding?
Qwen3.8 Max scores higher on coding benchmarks: 53.5 versus 29.6 in the Noometry coding category.
How many benchmarks do Olmo 7b Instruct and Qwen3.8 Max share?
10 benchmarks have published results for both models. Olmo 7b Instruct has 10 scored results on Noometry and Qwen3.8 Max has 39.