Model comparison
Qwen Turbo vs Qwen3 14B
Qwen3 14B is the stronger model overall, scoring 35.5 to 27.1 on the Noometry Index. Qwen Turbo costs 7.0× less per token, which makes it the better buy when Qwen3 14B's lead doesn't matter for your workload.
Last verified . 2 shared benchmarks.
Summary
- They share 2 benchmarks with published results for both. Qwen Turbo scores higher in 0 categories and Qwen3 14B in 2 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen3 14B leads 38.6 to 15.3.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 6.1% for Qwen Turbo and 66.4% for Qwen3 14B.
- Qwen Turbo is cheaper at $0.05 / $0.20 per million input/output tokens, against $0.35 / $1.40 for Qwen3 14B.
- Qwen Turbo accepts more context: 1M tokens versus 131K.
- Qwen3 14B has downloadable open weights; the other is API-only.
Side by side
| Qwen Turbo | Qwen3 14B | |
|---|---|---|
| Provider | Alibaba (Qwen) | Alibaba (Qwen) |
| Noometry Index | 27.1 | 35.5 |
| Released | 2024-11-01 | 2025-04 |
| Weights | Proprietary | Open |
| Context window | 1M | 131K |
| Max output | 16K | 8K |
| Input $ / M tokens | $0.05 | $0.35 |
| Output $ / M tokens | $0.20 | $1.40 |
| Results tracked | 3 | 12 |
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Category by category
Coding Not comparable
Qwen Turbo: —, Qwen3 14B: 37.3 (#195)
| Benchmark | Qwen Turbo | Qwen3 14B |
|---|---|---|
| SciCode | — | 31.6% |
Agentic & Tool Use Not comparable
Qwen Turbo: —, Qwen3 14B: 29.6 (#83)
| Benchmark | Qwen Turbo | Qwen3 14B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 41% |
Reasoning Not comparable
Qwen Turbo: —, Qwen3 14B: 18.5 (#280)
| Benchmark | Qwen Turbo | Qwen3 14B |
|---|---|---|
| Kagi LLM Benchmark | — | 49.1% |
| CritPt | — | 0% |
| Chess Puzzles | — | 4% |
| DTBench | — | 64% |
| LMCA | — | 18.2% |
| Epoch Capabilities Index | — | 138.23 |
Math Qwen3 14B leads
Qwen Turbo: 15.3 (#297), Qwen3 14B: 38.6 (#133)
| Benchmark | Qwen Turbo | Qwen3 14B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 6.1% | 66.4% |
| MATH Level 5 | 56.2% | — |
Knowledge Qwen3 14B leads
Qwen Turbo: 22.2 (#272), Qwen3 14B: 39.3 (#134)
| Benchmark | Qwen Turbo | Qwen3 14B |
|---|---|---|
| GPQA Diamond | 41.8% | 63.8% |
| Vectara Hallucination Rate | — | 5.4% |
Long Context Not comparable
Qwen Turbo: —, Qwen3 14B: 38.1 (#204)
| Benchmark | Qwen Turbo | Qwen3 14B |
|---|---|---|
| Fiction.LiveBench | — | 62.5% |
Frequently asked questions
Is Qwen Turbo better than Qwen3 14B?
Qwen3 14B is the stronger model overall, scoring 35.5 to 27.1 on the Noometry Index. Qwen Turbo costs 7.0× less per token, which makes it the better buy when Qwen3 14B's lead doesn't matter for your workload.
Which is cheaper, Qwen Turbo or Qwen3 14B?
Qwen Turbo is cheaper. It lists at $0.05 per million input tokens and $0.20 per million output tokens; Qwen3 14B lists at $0.35 and $1.40.
Which has the bigger context window?
Qwen Turbo does, with 1M tokens against 131K.
How many benchmarks do Qwen Turbo and Qwen3 14B share?
2 benchmarks have published results for both models. Qwen Turbo has 3 scored results on Noometry and Qwen3 14B has 12.