Model comparison
Qwen2.5 14B Instruct vs Qwen3 14B
Qwen3 14B has enough public results to be ranked (#222); Qwen2.5 14B Instruct does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)Summary
- Both cost about the same: $0.35 input and $1.40 output per million tokens.
Side by side
| Qwen2.5 14B Instruct | Qwen3 14B | |
|---|---|---|
| Provider | Alibaba (Qwen) | Alibaba (Qwen) |
| Noometry Index | 38.2 | 35.0 |
| Released | 2024-09 | 2025-04 |
| Weights | Open | Open |
| Context window | 131K | 131K |
| Max output | 8K | 8K |
| Input $ / M tokens | $0.35 | $0.35 |
| Output $ / M tokens | $1.40 | $1.40 |
| Results tracked | 3 | 12 |
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Category by category
Coding Too close to call
Qwen2.5 14B Instruct: 37.1 (#187), Qwen3 14B: 36.7 (#191)
| Benchmark | Qwen2.5 14B Instruct | Qwen3 14B |
|---|---|---|
| SciCode | — | 31.6% |
| BigCodeBench Instruct | 39.8% | — |
| BigCodeBench Complete | 52.2% | — |
Agentic & Tool Use Not comparable
Qwen2.5 14B Instruct: —, Qwen3 14B: 29.4 (#78)
| Benchmark | Qwen2.5 14B Instruct | Qwen3 14B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 41% |
Reasoning Not comparable
Qwen2.5 14B Instruct: —, Qwen3 14B: 18.1 (#272)
| Benchmark | Qwen2.5 14B Instruct | Qwen3 14B |
|---|---|---|
| Kagi LLM Benchmark | — | 49.1% |
| CritPt | — | 0% |
| Chess Puzzles | — | 4% |
| DTBench | — | 64% |
| LMCA | — | 18.2% |
| Epoch Capabilities Index | — | 138.23 |
Math Not comparable
Qwen2.5 14B Instruct: —, Qwen3 14B: 37.0 (#102)
| Benchmark | Qwen2.5 14B Instruct | Qwen3 14B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 66.4% |
Knowledge Not comparable
Qwen2.5 14B Instruct: —, Qwen3 14B: 39.2 (#124)
| Benchmark | Qwen2.5 14B Instruct | Qwen3 14B |
|---|---|---|
| GPQA Diamond | — | 63.8% |
| Vectara Hallucination Rate | — | 5.4% |
| MMLU | 79.9% | — |
Long Context Not comparable
Qwen2.5 14B Instruct: —, Qwen3 14B: 38.0 (#201)
| Benchmark | Qwen2.5 14B Instruct | Qwen3 14B |
|---|---|---|
| Fiction.LiveBench | — | 62.5% |
Frequently asked questions
Is Qwen2.5 14B Instruct better than Qwen3 14B?
Qwen3 14B has enough public results to be ranked (#222); Qwen2.5 14B Instruct does not yet, so treat this comparison as directional.
Which is cheaper, Qwen2.5 14B Instruct or Qwen3 14B?
Qwen3 14B is cheaper. It lists at $0.35 per million input tokens and $1.40 per million output tokens; Qwen2.5 14B Instruct lists at $0.35 and $1.40.
Is Qwen2.5 14B Instruct or Qwen3 14B better for coding?
They score almost the same on coding (37.1 vs 36.7); test both on your own repository before choosing.
Which has the bigger context window?
Both accept 131K tokens.
How many benchmarks do Qwen2.5 14B Instruct and Qwen3 14B share?
0 benchmarks have published results for both models. Qwen2.5 14B Instruct has 3 scored results on Noometry and Qwen3 14B has 12.