Model comparison
Mistral 7B vs Qwen3 14B
Qwen3 14B is the stronger model overall, scoring 35.5 to 23.0 on the Noometry Index. Mistral 7B costs 2.4× less per token, which makes it the better buy when Qwen3 14B's lead doesn't matter for your workload.
Last verified . 5 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 5 benchmarks with published results for both. Mistral 7B scores higher in 0 categories and Qwen3 14B in 5 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3 14B leads 39.3 to 7.4.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 0.3% for Mistral 7B and 66.4% for Qwen3 14B.
- Mistral 7B is cheaper at $0.25 / $0.25 per million input/output tokens, against $0.35 / $1.40 for Qwen3 14B.
- Qwen3 14B accepts more context: 131K tokens versus 8K.
Side by side
| Mistral 7B | Qwen3 14B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 23.0 | 35.5 |
| Released | 2023-09-27 | 2025-04 |
| Weights | Open | Open |
| Context window | 8K | 131K |
| Max output | 8K | 8K |
| Input $ / M tokens | $0.25 | $0.35 |
| Output $ / M tokens | $0.25 | $1.40 |
| Results tracked | 37 | 12 |
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Category by category
Coding Qwen3 14B leads
Mistral 7B: 26.4 (#326), Qwen3 14B: 37.3 (#195)
| Benchmark | Mistral 7B | Qwen3 14B |
|---|---|---|
| SciCode | — | 31.6% |
| BigCodeBench Instruct | 19.5% | — |
| LMArena Coding | 1082 | — |
| BigCodeBench Complete | 27.3% | — |
| HumanEval+ | 36% | — |
| MBPP+ | 42.1% | — |
Agentic & Tool Use Not comparable
Mistral 7B: —, Qwen3 14B: 29.6 (#83)
| Benchmark | Mistral 7B | Qwen3 14B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 41% |
Reasoning Qwen3 14B leads
Mistral 7B: 13.1 (#336), Qwen3 14B: 18.5 (#280)
| Benchmark | Mistral 7B | Qwen3 14B |
|---|---|---|
| Chess Puzzles | 0% | 4% |
| DTBench | 42.5% | 64% |
| Epoch Capabilities Index | 112.21 | 138.23 |
| Kagi LLM Benchmark | — | 49.1% |
| CritPt | — | 0% |
| LMArena Hard Prompts | 1067 | — |
| LMCA | — | 18.2% |
| Adversarial NLI | 47.1% | — |
| BIG-Bench Hard | 56.1% | — |
| HellaSwag | 81% | — |
| PIQA | 83% | — |
| WinoGrande | 75.3% | — |
Math Qwen3 14B leads
Mistral 7B: 8.1 (#325), Qwen3 14B: 38.6 (#133)
| Benchmark | Mistral 7B | Qwen3 14B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0.3% | 66.4% |
| LMArena Math | 1085 | — |
| MATH Level 5 | 3.7% | — |
| GSM8K | 54.4% | — |
Knowledge Qwen3 14B leads
Mistral 7B: 7.4 (#311), Qwen3 14B: 39.3 (#134)
| Benchmark | Mistral 7B | Qwen3 14B |
|---|---|---|
| GPQA Diamond | 15.2% | 63.8% |
| Vectara Hallucination Rate | — | 5.4% |
| LMArena Expert | 1036 | — |
| ARC (AI2) Challenge | 78.6% | — |
| BoolQ | 87.4% | — |
| MMLU | 62.5% | — |
| OpenBookQA | 79.8% | — |
| TriviaQA | 75.2% | — |
Multilingual Not comparable
Mistral 7B: 25.8 (#283), Qwen3 14B: —
| Benchmark | Mistral 7B | Qwen3 14B |
|---|---|---|
| LMArena Non-English | 1012 | — |
| LMArena Chinese | 1009 | — |
| LMArena French | 1037 | — |
| LMArena German | 987 | — |
| LMArena Japanese | 878 | — |
| LMArena Russian | 1018 | — |
| LMArena Spanish | 1026 | — |
Instruction Following Not comparable
Mistral 7B: 54.2 (#280), Qwen3 14B: —
| Benchmark | Mistral 7B | Qwen3 14B |
|---|---|---|
| LMArena Instruction Following | 1060 | — |
Long Context Qwen3 14B leads
Mistral 7B: 32.2 (#271), Qwen3 14B: 38.1 (#204)
| Benchmark | Mistral 7B | Qwen3 14B |
|---|---|---|
| Fiction.LiveBench | — | 62.5% |
| LMArena Longer Query | 1060 | — |
Writing & Preference Not comparable
Mistral 7B: 30.7 (#286), Qwen3 14B: —
| Benchmark | Mistral 7B | Qwen3 14B |
|---|---|---|
| LMArena Text | 1090 | — |
| LMArena Creative Writing | 1068 | — |
| LMArena Multi-Turn | 1062 | — |
Frequently asked questions
Is Mistral 7B better than Qwen3 14B?
Qwen3 14B is the stronger model overall, scoring 35.5 to 23.0 on the Noometry Index. Mistral 7B costs 2.4× less per token, which makes it the better buy when Qwen3 14B's lead doesn't matter for your workload.
Which is cheaper, Mistral 7B or Qwen3 14B?
Mistral 7B is cheaper. It lists at $0.25 per million input tokens and $0.25 per million output tokens; Qwen3 14B lists at $0.35 and $1.40.
Is Mistral 7B or Qwen3 14B better for coding?
Qwen3 14B scores higher on coding benchmarks: 37.3 versus 26.4 in the Noometry coding category.
Which has the bigger context window?
Qwen3 14B does, with 131K tokens against 8K.
How many benchmarks do Mistral 7B and Qwen3 14B share?
5 benchmarks have published results for both models. Mistral 7B has 37 scored results on Noometry and Qwen3 14B has 12.