Model comparison
Kimi K3 vs Qwen3 14B
Kimi K3 is the stronger model overall, scoring 59.5 to 35.5 on the Noometry Index. Qwen3 14B costs 9.8× less per token, which makes it the better buy when Kimi K3's lead doesn't matter for your workload.
Last verified . 8 shared benchmarks.
Alibaba (Qwen)Summary
- They share 8 benchmarks with published results for both. Kimi K3 scores higher in 6 categories and Qwen3 14B in 0 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Kimi K3 leads 63.0 to 18.5.
- The biggest single-benchmark swing is Chess Puzzles: 39% for Kimi K3 and 4% for Qwen3 14B.
- Qwen3 14B is cheaper at $0.35 / $1.40 per million input/output tokens, against $3 / $15 for Kimi K3.
- Kimi K3 accepts more context: 1.05M tokens versus 131K.
Side by side
| Kimi K3 | Qwen3 14B | |
|---|---|---|
| Provider | Moonshot AI | Alibaba (Qwen) |
| Noometry Index | 59.5 | 35.5 |
| Released | 2026-07-16 | 2025-04 |
| Weights | Open | Open |
| Context window | 1.05M | 131K |
| Max output | 1.05M | 8K |
| Input $ / M tokens | $3 | $0.35 |
| Output $ / M tokens | $15 | $1.40 |
| Results tracked | 53 | 12 |
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Category by category
Coding Kimi K3 leads
Kimi K3: 61.0 (#10), Qwen3 14B: 37.3 (#195)
| Benchmark | Kimi K3 | Qwen3 14B |
|---|---|---|
| SciCode | 59.5% | 31.6% |
| DeepSWE | 68.5% | — |
| FrontierCode | 44.2% | — |
| LMArena WebDev | 1654 | — |
| FrontierSWE | 25.9% | — |
| WeirdML | 82.6% | — |
| LMArena Coding | 1508 | — |
| ALE-Bench | 1,524 | — |
Agentic & Tool Use Kimi K3 leads
Kimi K3: 41.8 (#20), Qwen3 14B: 29.6 (#83)
| Benchmark | Kimi K3 | Qwen3 14B |
|---|---|---|
| APEX-Agents | 50.6% | — |
| Berkeley Function Calling Leaderboard | — | 41% |
| τ²-bench Banking | 37.1% | — |
| PostTrainBench | 32% | — |
| GBAEval | 48.3% | — |
| GDP.pdf | 19% | — |
| Vending-Bench 2 | 5,165 | — |
Reasoning Kimi K3 leads
Kimi K3: 63.0 (#17), Qwen3 14B: 18.5 (#280)
| Benchmark | Kimi K3 | Qwen3 14B |
|---|---|---|
| CritPt | 23.4% | 0% |
| Chess Puzzles | 39% | 4% |
| DTBench | 91.2% | 64% |
| LMCA | 52.7% | 18.2% |
| Epoch Capabilities Index | 157.45 | 138.23 |
| ARC-AGI-2 | 60.4% | — |
| SimpleBench | 60.7% | — |
| Kagi LLM Benchmark | — | 49.1% |
| NYT Connections (extended) | 93.6% | — |
| ARC-AGI-1 | 94.5% | — |
| LMArena Hard Prompts | 1496 | — |
| Mystery Game Puzzles | 26% | — |
| Surface Evolver Bench | 95% | — |
| ForecastBench | 61.1 | — |
Math Kimi K3 leads
Kimi K3: 74.2 (#16), Qwen3 14B: 38.6 (#133)
| Benchmark | Kimi K3 | Qwen3 14B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 97.2% | 66.4% |
| FrontierMath (Tiers 1-3) | 72.2% | — |
| FrontierMath Tier 4 | 39% | — |
| MathArena Final-Answer Competitions | 87.8% | — |
| ProofBench | 87% | — |
| LMArena Math | 1491 | — |
Knowledge Kimi K3 leads
Kimi K3: 63.2 (#21), Qwen3 14B: 39.3 (#134)
| Benchmark | Kimi K3 | Qwen3 14B |
|---|---|---|
| GPQA Diamond | 93.1% | 63.8% |
| SimpleQA Verified | 50.6% | — |
| Vectara Hallucination Rate | — | 5.4% |
| LMArena Expert | 1521 | — |
Multimodal Not comparable
Kimi K3: 37.8 (#70), Qwen3 14B: —
| Benchmark | Kimi K3 | Qwen3 14B |
|---|---|---|
| Blueprint-Bench 2 | 29.5% | — |
| Furniture Assembly | 34.2% | — |
Multilingual Not comparable
Kimi K3: 56.3 (#21), Qwen3 14B: —
| Benchmark | Kimi K3 | Qwen3 14B |
|---|---|---|
| LMArena Non-English | 1466 | — |
| LMArena Chinese | 1529 | — |
| LMArena French | 1491 | — |
| LMArena German | 1488 | — |
| LMArena Japanese | 1487 | — |
| LMArena Korean | 1458 | — |
| LMArena Russian | 1482 | — |
| LMArena Spanish | 1472 | — |
Instruction Following Not comparable
Kimi K3: 77.7 (#14), Qwen3 14B: —
| Benchmark | Kimi K3 | Qwen3 14B |
|---|---|---|
| LMArena Instruction Following | 1483 | — |
Long Context Kimi K3 leads
Kimi K3: 45.8 (#29), Qwen3 14B: 38.1 (#204)
| Benchmark | Kimi K3 | Qwen3 14B |
|---|---|---|
| Fiction.LiveBench | — | 62.5% |
| LMArena Longer Query | 1494 | — |
Writing & Preference Not comparable
Kimi K3: 76.6 (#4), Qwen3 14B: —
| Benchmark | Kimi K3 | Qwen3 14B |
|---|---|---|
| LMArena Text | 1476 | — |
| LMArena Creative Writing | 1454 | — |
| EQ-Bench Creative Writing | 2082 | — |
| EQ-Bench 4 | 1339 | — |
| LMArena Multi-Turn | 1488 | — |
Frequently asked questions
Is Kimi K3 better than Qwen3 14B?
Kimi K3 is the stronger model overall, scoring 59.5 to 35.5 on the Noometry Index. Qwen3 14B costs 9.8× less per token, which makes it the better buy when Kimi K3's lead doesn't matter for your workload.
Which is cheaper, Kimi K3 or Qwen3 14B?
Qwen3 14B is cheaper. It lists at $0.35 per million input tokens and $1.40 per million output tokens; Kimi K3 lists at $3 and $15.
Is Kimi K3 or Qwen3 14B better for coding?
Kimi K3 scores higher on coding benchmarks: 61.0 versus 37.3 in the Noometry coding category.
Which has the bigger context window?
Kimi K3 does, with 1.05M tokens against 131K.
How many benchmarks do Kimi K3 and Qwen3 14B share?
8 benchmarks have published results for both models. Kimi K3 has 53 scored results on Noometry and Qwen3 14B has 12.