Model comparison
Olmo 7b Instruct vs Qwen3.8 27B
Qwen3.8 27B is the stronger model overall, scoring 46.0 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 27B in 6 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen3.8 27B leads 65.8 to 25.8.
Side by side
| Olmo 7b Instruct | Qwen3.8 27B | |
|---|---|---|
| Provider | Allen Institute for AI (Ai2) | Alibaba (Qwen) |
| Noometry Index | 30.3 | 46.0 |
| Released | — | 2026-08-14 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 33K |
| Input $ / M tokens | — | $0.99 |
| Output $ / M tokens | — | $1.49 |
| Results tracked | 10 | 31 |
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Category by category
Coding Qwen3.8 27B leads
Olmo 7b Instruct: 29.6 (#303), Qwen3.8 27B: 50.5 (#44)
| Benchmark | Olmo 7b Instruct | Qwen3.8 27B |
|---|---|---|
| LMArena Coding | 1016 | 1482 |
| LMArena WebDev | — | 1593 |
| SciCode | — | 46.6% |
Agentic & Tool Use Not comparable
Olmo 7b Instruct: —, Qwen3.8 27B: 32.9 (#57)
| Benchmark | Olmo 7b Instruct | Qwen3.8 27B |
|---|---|---|
| APEX-Agents | — | 47.5% |
Reasoning Qwen3.8 27B leads
Olmo 7b Instruct: 18.8 (#274), Qwen3.8 27B: 41.0 (#54)
| Benchmark | Olmo 7b Instruct | Qwen3.8 27B |
|---|---|---|
| LMArena Hard Prompts | 993 | 1460 |
| ARC-AGI-2 | — | 42.4% |
| NYT Connections (extended) | — | 54.5% |
| ARC-AGI-1 | — | 87.5% |
| CritPt | — | 5.4% |
| DTBench | — | 88% |
| LMCA | — | 41.4% |
| Surface Evolver Bench | — | 45% |
| Epoch Capabilities Index | — | 149.38 |
Math Qwen3.8 27B leads
Olmo 7b Instruct: 30.2 (#237), Qwen3.8 27B: 37.1 (#161)
| Benchmark | Olmo 7b Instruct | Qwen3.8 27B |
|---|---|---|
| LMArena Math | 1018 | 1456 |
| ProofBench | — | 16% |
Knowledge Not comparable
Olmo 7b Instruct: —, Qwen3.8 27B: 41.6 (#109)
| Benchmark | Olmo 7b Instruct | Qwen3.8 27B |
|---|---|---|
| LMArena Expert | — | 1482 |
Multimodal Not comparable
Olmo 7b Instruct: —, Qwen3.8 27B: 41.3 (#37)
| Benchmark | Olmo 7b Instruct | Qwen3.8 27B |
|---|---|---|
| LMArena Vision | — | 1271 |
Multilingual Qwen3.8 27B leads
Olmo 7b Instruct: 24.0 (#291), Qwen3.8 27B: 53.7 (#60)
| Benchmark | Olmo 7b Instruct | Qwen3.8 27B |
|---|---|---|
| LMArena Non-English | 977 | 1430 |
| LMArena Chinese | 1014 | 1504 |
| LMArena Russian | 947 | 1415 |
| LMArena French | — | 1465 |
| LMArena German | — | 1438 |
| LMArena Japanese | — | 1384 |
| LMArena Korean | — | 1393 |
| LMArena Spanish | — | 1448 |
Instruction Following Qwen3.8 27B leads
Olmo 7b Instruct: 49.0 (#301), Qwen3.8 27B: 75.8 (#53)
| Benchmark | Olmo 7b Instruct | Qwen3.8 27B |
|---|---|---|
| LMArena Instruction Following | 978 | 1439 |
Long Context Not comparable
Olmo 7b Instruct: —, Qwen3.8 27B: 44.3 (#70)
| Benchmark | Olmo 7b Instruct | Qwen3.8 27B |
|---|---|---|
| LMArena Longer Query | — | 1450 |
Writing & Preference Qwen3.8 27B leads
Olmo 7b Instruct: 25.8 (#303), Qwen3.8 27B: 65.8 (#43)
| Benchmark | Olmo 7b Instruct | Qwen3.8 27B |
|---|---|---|
| LMArena Text | 1032 | 1441 |
| LMArena Creative Writing | 990 | 1384 |
| LMArena Multi-Turn | 1007 | 1441 |
| EQ-Bench Creative Writing | — | 1671 |
Frequently asked questions
Is Olmo 7b Instruct better than Qwen3.8 27B?
Qwen3.8 27B is the stronger model overall, scoring 46.0 to 30.3 on the Noometry Index.
Is Olmo 7b Instruct or Qwen3.8 27B better for coding?
Qwen3.8 27B scores higher on coding benchmarks: 50.5 versus 29.6 in the Noometry coding category.
How many benchmarks do Olmo 7b Instruct and Qwen3.8 27B share?
10 benchmarks have published results for both models. Olmo 7b Instruct has 10 scored results on Noometry and Qwen3.8 27B has 31.