Model comparison
Gemini 2.5 Flash vs Qwen2.5 14B Instruct
Gemini 2.5 Flash has enough public results to be ranked (#162); Qwen2.5 14B Instruct does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
Google
Alibaba (Qwen)Summary
- Qwen2.5 14B Instruct is cheaper at $0.35 / $1.40 per million input/output tokens, against $0.30 / $2.50 for Gemini 2.5 Flash.
- Gemini 2.5 Flash accepts more context: 1.05M tokens versus 131K.
- Qwen2.5 14B Instruct has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.5 Flash | Qwen2.5 14B Instruct | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 39.0 | 38.2 |
| Released | 2025-04-17 | 2024-09 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 131K |
| Max output | 66K | 8K |
| Input $ / M tokens | $0.30 | $0.35 |
| Output $ / M tokens | $2.50 | $1.40 |
| Results tracked | 54 | 3 |
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Category by category
Coding Qwen2.5 14B Instruct leads
Gemini 2.5 Flash: 35.5 (#210), Qwen2.5 14B Instruct: 37.1 (#187)
| Benchmark | Gemini 2.5 Flash | Qwen2.5 14B Instruct |
|---|---|---|
| SWE-bench Verified (bash only) | 28.7% | — |
| Aider Polyglot | 55.1% | — |
| WeirdML | 41.9% | — |
| BigCodeBench Instruct | — | 39.8% |
| LMArena Coding | 1424 | — |
| BigCodeBench Complete | — | 52.2% |
| ALE-Bench | 661.88 | — |
Agentic & Tool Use Not comparable
Gemini 2.5 Flash: 30.6 (#67), Qwen2.5 14B Instruct: —
| Benchmark | Gemini 2.5 Flash | Qwen2.5 14B Instruct |
|---|---|---|
| Terminal-Bench | 17.1% | — |
| Berkeley Function Calling Leaderboard | 56.2% | — |
| TheAgentCompany | 41.1% | — |
| BALROG | 33.5% | — |
| Vending-Bench 2 | 548.84 | — |
Reasoning Not comparable
Gemini 2.5 Flash: 18.2 (#271), Qwen2.5 14B Instruct: —
| Benchmark | Gemini 2.5 Flash | Qwen2.5 14B Instruct |
|---|---|---|
| ARC-AGI-2 | 2.5% | — |
| SimpleBench | 41.2% | — |
| Kagi LLM Benchmark | 56.8% | — |
| ARC-AGI-1 | 33.3% | — |
| CritPt | 1.1% | — |
| EnigmaEval | 2.7% | — |
| LMArena Hard Prompts | 1422 | — |
| DTBench | 76.5% | — |
| LMCA | 27.5% | — |
| Epoch Capabilities Index | 143.04 | — |
| ForecastBench | 60.6 | — |
Math Not comparable
Gemini 2.5 Flash: 38.1 (#87), Qwen2.5 14B Instruct: —
| Benchmark | Gemini 2.5 Flash | Qwen2.5 14B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 73.1% | — |
| Omni-MATH | 38.5% | — |
| LMArena Math | 1415 | — |
| FrontierMath (Feb 2025 set) | 4.8% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Not comparable
Gemini 2.5 Flash: 36.1 (#162), Qwen2.5 14B Instruct: —
| Benchmark | Gemini 2.5 Flash | Qwen2.5 14B Instruct |
|---|---|---|
| Humanity's Last Exam | 12.1% | — |
| MMLU-Pro | 63.9% | — |
| Confabulations | 16.8% | — |
| Vectara Hallucination Rate | 7.8% | — |
| GPQA (HELM) | 39% | — |
| LMArena Expert | 1426 | — |
| MMLU | — | 79.9% |
Multimodal Not comparable
Gemini 2.5 Flash: 41.2 (#31), Qwen2.5 14B Instruct: —
| Benchmark | Gemini 2.5 Flash | Qwen2.5 14B Instruct |
|---|---|---|
| LMArena Vision | 1254 | — |
| GeoBench | 76% | — |
| VPCT | 46.2% | — |
| SpatialViz-Bench | 36.9% | — |
Multilingual Not comparable
Gemini 2.5 Flash: 52.5 (#83), Qwen2.5 14B Instruct: —
| Benchmark | Gemini 2.5 Flash | Qwen2.5 14B Instruct |
|---|---|---|
| LMArena Non-English | 1410 | — |
| LMArena Chinese | 1450 | — |
| LMArena French | 1433 | — |
| LMArena German | 1419 | — |
| LMArena Japanese | 1403 | — |
| LMArena Korean | 1385 | — |
| LMArena Russian | 1415 | — |
| LMArena Spanish | 1421 | — |
Instruction Following Not comparable
Gemini 2.5 Flash: 75.9 (#50), Qwen2.5 14B Instruct: —
| Benchmark | Gemini 2.5 Flash | Qwen2.5 14B Instruct |
|---|---|---|
| IFEval | 89.8% | — |
| LMArena Instruction Following | 1405 | — |
Long Context Not comparable
Gemini 2.5 Flash: 47.5 (#16), Qwen2.5 14B Instruct: —
| Benchmark | Gemini 2.5 Flash | Qwen2.5 14B Instruct |
|---|---|---|
| Fiction.LiveBench | 77.8% | — |
| LMArena Longer Query | 1419 | — |
Writing & Preference Not comparable
Gemini 2.5 Flash: 54.0 (#153), Qwen2.5 14B Instruct: —
| Benchmark | Gemini 2.5 Flash | Qwen2.5 14B Instruct |
|---|---|---|
| LMArena Text | 1417 | — |
| LMArena Creative Writing | 1400 | — |
| Short-Story Creative Writing | 76.5% | — |
| EQ-Bench Creative Writing | 1137 | — |
| WildBench | 81.7% | — |
| LMArena Multi-Turn | 1408 | — |
Frequently asked questions
Is Gemini 2.5 Flash better than Qwen2.5 14B Instruct?
Gemini 2.5 Flash has enough public results to be ranked (#162); Qwen2.5 14B Instruct does not yet, so treat this comparison as directional.
Which is cheaper, Gemini 2.5 Flash or Qwen2.5 14B Instruct?
Qwen2.5 14B Instruct is cheaper. It lists at $0.35 per million input tokens and $1.40 per million output tokens; Gemini 2.5 Flash lists at $0.30 and $2.50.
Is Gemini 2.5 Flash or Qwen2.5 14B Instruct better for coding?
Qwen2.5 14B Instruct scores higher on coding benchmarks: 37.1 versus 35.5 in the Noometry coding category.
Which has the bigger context window?
Gemini 2.5 Flash does, with 1.05M tokens against 131K.
How many benchmarks do Gemini 2.5 Flash and Qwen2.5 14B Instruct share?
0 benchmarks have published results for both models. Gemini 2.5 Flash has 54 scored results on Noometry and Qwen2.5 14B Instruct has 3.