Model comparison
Mistral 7B vs Qwen3-Coder 480B-A35B Instruct
Qwen3-Coder 480B-A35B Instruct is the stronger model overall, scoring 37.7 to 22.9 on the Noometry Index. Mistral 7B costs 12× less per token, which makes it the better buy when Qwen3-Coder 480B-A35B Instruct's lead doesn't matter for your workload.
Last verified . 16 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 16 benchmarks with published results for both. Mistral 7B scores higher in 0 categories and Qwen3-Coder 480B-A35B Instruct in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3-Coder 480B-A35B Instruct leads 36.4 to 7.3.
- Mistral 7B is cheaper at $0.25 / $0.25 per million input/output tokens, against $1.50 / $7.50 for Qwen3-Coder 480B-A35B Instruct.
- Qwen3-Coder 480B-A35B Instruct accepts more context: 262K tokens versus 8K.
Side by side
| Mistral 7B | Qwen3-Coder 480B-A35B Instruct | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 22.9 | 37.7 |
| Released | 2023-09-27 | 2025-04 |
| Weights | Open | Open |
| Context window | 8K | 262K |
| Max output | 8K | 66K |
| Input $ / M tokens | $0.25 | $1.50 |
| Output $ / M tokens | $0.25 | $7.50 |
| Results tracked | 37 | 25 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Qwen3-Coder 480B-A35B Instruct leads
Mistral 7B: 25.9 (#321), Qwen3-Coder 480B-A35B Instruct: 36.2 (#199)
| Benchmark | Mistral 7B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Coding | 1082 | 1413 |
| SWE-bench Verified (bash only) | — | 55.4% |
| LMArena WebDev | — | 1275 |
| GSO | — | 4.9% |
| WeirdML | — | 41.2% |
| BigCodeBench Instruct | 19.5% | — |
| BigCodeBench Complete | 27.3% | — |
| ALE-Bench | — | 461.45 |
| AlgoTune | — | 1.44 |
| HumanEval+ | 36% | — |
| MBPP+ | 42.1% | — |
Agentic & Tool Use Not comparable
Mistral 7B: —, Qwen3-Coder 480B-A35B Instruct: 23.7 (#116)
| Benchmark | Mistral 7B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Terminal-Bench | — | 27.2% |
Reasoning Qwen3-Coder 480B-A35B Instruct leads
Mistral 7B: 12.6 (#331), Qwen3-Coder 480B-A35B Instruct: 24.7 (#141)
| Benchmark | Mistral 7B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Hard Prompts | 1067 | 1372 |
| Kagi LLM Benchmark | — | 49.5% |
| Chess Puzzles | 0% | — |
| DTBench | 42.5% | — |
| Adversarial NLI | 47.1% | — |
| BIG-Bench Hard | 56.1% | — |
| Epoch Capabilities Index | 111.97 | — |
| HellaSwag | 81% | — |
| PIQA | 83% | — |
| WinoGrande | 75.3% | — |
Math Qwen3-Coder 480B-A35B Instruct leads
Mistral 7B: 7.6 (#319), Qwen3-Coder 480B-A35B Instruct: 34.9 (#151)
| Benchmark | Mistral 7B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Math | 1085 | 1364 |
| OTIS Mock AIME 2024-2025 | 0.3% | — |
| MATH Level 5 | 3.7% | — |
| GSM8K | 54.4% | — |
Knowledge Qwen3-Coder 480B-A35B Instruct leads
Mistral 7B: 7.3 (#306), Qwen3-Coder 480B-A35B Instruct: 36.4 (#159)
| Benchmark | Mistral 7B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Expert | 1036 | 1337 |
| GPQA Diamond | 15.2% | — |
| ARC (AI2) Challenge | 78.6% | — |
| BoolQ | 87.4% | — |
| MMLU | 62.5% | — |
| OpenBookQA | 79.8% | — |
| TriviaQA | 75.2% | — |
Multilingual Qwen3-Coder 480B-A35B Instruct leads
Mistral 7B: 26.0 (#278), Qwen3-Coder 480B-A35B Instruct: 47.8 (#143)
| Benchmark | Mistral 7B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Non-English | 1012 | 1345 |
| LMArena Chinese | 1009 | 1356 |
| LMArena French | 1036 | 1394 |
| LMArena German | 987 | 1324 |
| LMArena Japanese | 878 | 1309 |
| LMArena Russian | 1018 | 1367 |
| LMArena Spanish | 1026 | 1360 |
| LMArena Korean | — | 1307 |
Instruction Following Qwen3-Coder 480B-A35B Instruct leads
Mistral 7B: 54.5 (#275), Qwen3-Coder 480B-A35B Instruct: 71.8 (#142)
| Benchmark | Mistral 7B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Instruction Following | 1060 | 1356 |
Long Context Qwen3-Coder 480B-A35B Instruct leads
Mistral 7B: 32.2 (#266), Qwen3-Coder 480B-A35B Instruct: 42.0 (#126)
| Benchmark | Mistral 7B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Longer Query | 1060 | 1379 |
Writing & Preference Qwen3-Coder 480B-A35B Instruct leads
Mistral 7B: 30.9 (#281), Qwen3-Coder 480B-A35B Instruct: 55.5 (#142)
| Benchmark | Mistral 7B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Text | 1090 | 1356 |
| LMArena Creative Writing | 1068 | 1333 |
| LMArena Multi-Turn | 1062 | 1365 |
Frequently asked questions
Is Mistral 7B better than Qwen3-Coder 480B-A35B Instruct?
Qwen3-Coder 480B-A35B Instruct is the stronger model overall, scoring 37.7 to 22.9 on the Noometry Index. Mistral 7B costs 12× less per token, which makes it the better buy when Qwen3-Coder 480B-A35B Instruct's lead doesn't matter for your workload.
Which is cheaper, Mistral 7B or Qwen3-Coder 480B-A35B Instruct?
Mistral 7B is cheaper. It lists at $0.25 per million input tokens and $0.25 per million output tokens; Qwen3-Coder 480B-A35B Instruct lists at $1.50 and $7.50.
Is Mistral 7B or Qwen3-Coder 480B-A35B Instruct better for coding?
Qwen3-Coder 480B-A35B Instruct scores higher on coding benchmarks: 36.2 versus 25.9 in the Noometry coding category.
Which has the bigger context window?
Qwen3-Coder 480B-A35B Instruct does, with 262K tokens against 8K.
How many benchmarks do Mistral 7B and Qwen3-Coder 480B-A35B Instruct share?
16 benchmarks have published results for both models. Mistral 7B has 37 scored results on Noometry and Qwen3-Coder 480B-A35B Instruct has 25.