Model comparison
Mistral Small 3 vs Qwen3 14B
Qwen3 14B is the stronger model overall, scoring 35.5 to 31.2 on the Noometry Index. Mistral Small 3 costs 11× less per token, which makes it the better buy when Qwen3 14B's lead doesn't matter for your workload.
Last verified . 4 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 4 benchmarks with published results for both. Mistral Small 3 scores higher in 1 category and Qwen3 14B in 4 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen3 14B leads 38.6 to 16.3.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 6.7% for Mistral Small 3 and 66.4% for Qwen3 14B.
- Mistral Small 3 is cheaper at $0.05 / $0.08 per million input/output tokens, against $0.35 / $1.40 for Qwen3 14B.
- Qwen3 14B accepts more context: 131K tokens versus 33K.
Side by side
| Mistral Small 3 | Qwen3 14B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 31.2 | 35.5 |
| Released | 2025-01-30 | 2025-04 |
| Weights | Open | Open |
| Context window | 33K | 131K |
| Max output | 16K | 8K |
| Input $ / M tokens | $0.05 | $0.35 |
| Output $ / M tokens | $0.08 | $1.40 |
| Results tracked | 24 | 12 |
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Category by category
Coding Too close to call
Mistral Small 3: 36.5 (#207), Qwen3 14B: 37.3 (#195)
| Benchmark | Mistral Small 3 | Qwen3 14B |
|---|---|---|
| SciCode | — | 31.6% |
| BigCodeBench Instruct | 45.3% | — |
| LMArena Coding | 1246 | — |
| BigCodeBench Complete | 50.4% | — |
Agentic & Tool Use Not comparable
Mistral Small 3: —, Qwen3 14B: 29.6 (#83)
| Benchmark | Mistral Small 3 | Qwen3 14B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 41% |
Reasoning Too close to call
Mistral Small 3: 18.9 (#273), Qwen3 14B: 18.5 (#280)
| Benchmark | Mistral Small 3 | Qwen3 14B |
|---|---|---|
| Chess Puzzles | 0% | 4% |
| Epoch Capabilities Index | 127.07 | 138.23 |
| Kagi LLM Benchmark | — | 49.1% |
| CritPt | — | 0% |
| LMArena Hard Prompts | 1233 | — |
| DTBench | — | 64% |
| LMCA | — | 18.2% |
Math Qwen3 14B leads
Mistral Small 3: 16.3 (#295), Qwen3 14B: 38.6 (#133)
| Benchmark | Mistral Small 3 | Qwen3 14B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 6.7% | 66.4% |
| LMArena Math | 1240 | — |
Knowledge Qwen3 14B leads
Mistral Small 3: 25.1 (#263), Qwen3 14B: 39.3 (#134)
| Benchmark | Mistral Small 3 | Qwen3 14B |
|---|---|---|
| GPQA Diamond | 47.3% | 63.8% |
| Confabulations | 25.2% | — |
| Vectara Hallucination Rate | — | 5.4% |
| LMArena Expert | 1202 | — |
Multilingual Not comparable
Mistral Small 3: 37.3 (#236), Qwen3 14B: —
| Benchmark | Mistral Small 3 | Qwen3 14B |
|---|---|---|
| LMArena Non-English | 1198 | — |
| LMArena Chinese | 1204 | — |
| LMArena French | 1203 | — |
| LMArena German | 1211 | — |
| LMArena Japanese | 1111 | — |
| LMArena Korean | 1188 | — |
| LMArena Russian | 1216 | — |
Instruction Following Not comparable
Mistral Small 3: 63.7 (#229), Qwen3 14B: —
| Benchmark | Mistral Small 3 | Qwen3 14B |
|---|---|---|
| LMArena Instruction Following | 1214 | — |
Long Context Too close to call
Mistral Small 3: 37.8 (#211), Qwen3 14B: 38.1 (#204)
| Benchmark | Mistral Small 3 | Qwen3 14B |
|---|---|---|
| Fiction.LiveBench | — | 62.5% |
| LMArena Longer Query | 1246 | — |
Writing & Preference Not comparable
Mistral Small 3: 32.2 (#280), Qwen3 14B: —
| Benchmark | Mistral Small 3 | Qwen3 14B |
|---|---|---|
| LMArena Text | 1234 | — |
| LMArena Creative Writing | 1195 | — |
| EQ-Bench Creative Writing | 707 | — |
| LMArena Multi-Turn | 1217 | — |
Frequently asked questions
Is Mistral Small 3 better than Qwen3 14B?
Qwen3 14B is the stronger model overall, scoring 35.5 to 31.2 on the Noometry Index. Mistral Small 3 costs 11× less per token, which makes it the better buy when Qwen3 14B's lead doesn't matter for your workload.
Which is cheaper, Mistral Small 3 or Qwen3 14B?
Mistral Small 3 is cheaper. It lists at $0.05 per million input tokens and $0.08 per million output tokens; Qwen3 14B lists at $0.35 and $1.40.
Is Mistral Small 3 or Qwen3 14B better for coding?
They score almost the same on coding (36.5 vs 37.3); test both on your own repository before choosing.
Which has the bigger context window?
Qwen3 14B does, with 131K tokens against 33K.
How many benchmarks do Mistral Small 3 and Qwen3 14B share?
4 benchmarks have published results for both models. Mistral Small 3 has 24 scored results on Noometry and Qwen3 14B has 12.