Model comparison
Gemini 2.5 Flash vs Qwen3-Next 80B-A3B Instruct
Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 43.0 to 39.3 on the Noometry Index.
Last verified . 25 shared benchmarks.
Summary
- They share 25 benchmarks with published results for both. Gemini 2.5 Flash scores higher in 4 categories and Qwen3-Next 80B-A3B Instruct in 4 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Qwen3-Next 80B-A3B Instruct leads 31.1 to 18.1.
- The biggest single-benchmark swing is GPQA (HELM): 39% for Gemini 2.5 Flash and 63% for Qwen3-Next 80B-A3B Instruct.
- Both cost about the same: $0.30 input and $2.50 output per million tokens.
- Gemini 2.5 Flash accepts more context: 1.05M tokens versus 131K.
- Qwen3-Next 80B-A3B Instruct has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.5 Flash | Qwen3-Next 80B-A3B Instruct | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 39.3 | 43.0 |
| Released | 2025-04-17 | 2025-09 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 131K |
| Max output | 66K | 33K |
| Input $ / M tokens | $0.30 | $0.50 |
| Output $ / M tokens | $2.50 | $2 |
| Results tracked | 54 | 25 |
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Category by category
Coding Qwen3-Next 80B-A3B Instruct leads
Gemini 2.5 Flash: 35.8 (#220), Qwen3-Next 80B-A3B Instruct: 42.5 (#98)
| Benchmark | Gemini 2.5 Flash | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Coding | 1424 | 1440 |
| SWE-bench Verified (bash only) | 28.7% | — |
| Aider Polyglot | 55.1% | — |
| WeirdML | 41.9% | — |
| ALE-Bench | 661.88 | — |
Agentic & Tool Use Not comparable
Gemini 2.5 Flash: 30.8 (#74), Qwen3-Next 80B-A3B Instruct: —
| Benchmark | Gemini 2.5 Flash | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Terminal-Bench | 17.1% | — |
| Berkeley Function Calling Leaderboard | 56.2% | — |
| TheAgentCompany | 41.1% | — |
| BALROG | 33.5% | — |
| Vending-Bench 2 | 548.84 | — |
Reasoning Qwen3-Next 80B-A3B Instruct leads
Gemini 2.5 Flash: 18.1 (#286), Qwen3-Next 80B-A3B Instruct: 31.1 (#81)
| Benchmark | Gemini 2.5 Flash | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Kagi LLM Benchmark | 56.8% | 66.7% |
| LMArena Hard Prompts | 1422 | 1428 |
| ARC-AGI-2 | 2.5% | — |
| SimpleBench | 41.2% | — |
| ARC-AGI-1 | 33.3% | — |
| CritPt | 1.1% | — |
| EnigmaEval | 2.7% | — |
| DTBench | 76.5% | — |
| LMCA | 27.5% | — |
| Epoch Capabilities Index | 143.03 | — |
| ForecastBench | 60.6 | — |
Math Gemini 2.5 Flash leads
Gemini 2.5 Flash: 39.9 (#98), Qwen3-Next 80B-A3B Instruct: 38.8 (#126)
| Benchmark | Gemini 2.5 Flash | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Omni-MATH | 38.5% | 46.7% |
| LMArena Math | 1415 | 1440 |
| OTIS Mock AIME 2024-2025 | 73.1% | — |
| FrontierMath (Feb 2025 set) | 4.8% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Qwen3-Next 80B-A3B Instruct leads
Gemini 2.5 Flash: 36.4 (#168), Qwen3-Next 80B-A3B Instruct: 41.8 (#106)
| Benchmark | Gemini 2.5 Flash | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| MMLU-Pro | 63.9% | 78.6% |
| Vectara Hallucination Rate | 7.8% | 9.3% |
| GPQA (HELM) | 39% | 63% |
| LMArena Expert | 1426 | 1417 |
| Humanity's Last Exam | 12.1% | — |
| Confabulations | 16.8% | — |
Multimodal Not comparable
Gemini 2.5 Flash: 41.8 (#32), Qwen3-Next 80B-A3B Instruct: —
| Benchmark | Gemini 2.5 Flash | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Vision | 1253 | — |
| GeoBench | 76% | — |
| VPCT | 46.2% | — |
| SpatialViz-Bench | 36.9% | — |
Multilingual Too close to call
Gemini 2.5 Flash: 52.3 (#88), Qwen3-Next 80B-A3B Instruct: 52.1 (#93)
| Benchmark | Gemini 2.5 Flash | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Non-English | 1409 | 1407 |
| LMArena Chinese | 1450 | 1460 |
| LMArena French | 1433 | 1413 |
| LMArena German | 1418 | 1417 |
| LMArena Japanese | 1405 | 1395 |
| LMArena Korean | 1385 | 1364 |
| LMArena Russian | 1415 | 1404 |
| LMArena Spanish | 1421 | 1435 |
Instruction Following Gemini 2.5 Flash leads
Gemini 2.5 Flash: 75.7 (#54), Qwen3-Next 80B-A3B Instruct: 70.8 (#159)
| Benchmark | Gemini 2.5 Flash | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| IFEval | 89.8% | 81% |
| LMArena Instruction Following | 1405 | 1389 |
Long Context Gemini 2.5 Flash leads
Gemini 2.5 Flash: 47.5 (#17), Qwen3-Next 80B-A3B Instruct: 37.0 (#223)
| Benchmark | Gemini 2.5 Flash | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Fiction.LiveBench | 77.8% | 55.6% |
| LMArena Longer Query | 1419 | 1403 |
Writing & Preference Qwen3-Next 80B-A3B Instruct leads
Gemini 2.5 Flash: 53.8 (#157), Qwen3-Next 80B-A3B Instruct: 58.0 (#121)
| Benchmark | Gemini 2.5 Flash | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Text | 1417 | 1417 |
| LMArena Creative Writing | 1400 | 1334 |
| WildBench | 81.7% | 80.7% |
| LMArena Multi-Turn | 1408 | 1416 |
| Short-Story Creative Writing | 76.5% | — |
| EQ-Bench Creative Writing | 1137 | — |
Frequently asked questions
Is Gemini 2.5 Flash better than Qwen3-Next 80B-A3B Instruct?
Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 43.0 to 39.3 on the Noometry Index.
Which is cheaper, Gemini 2.5 Flash or Qwen3-Next 80B-A3B Instruct?
Gemini 2.5 Flash is cheaper. It lists at $0.30 per million input tokens and $2.50 per million output tokens; Qwen3-Next 80B-A3B Instruct lists at $0.50 and $2.
Is Gemini 2.5 Flash or Qwen3-Next 80B-A3B Instruct better for coding?
Qwen3-Next 80B-A3B Instruct scores higher on coding benchmarks: 42.5 versus 35.8 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 Qwen3-Next 80B-A3B Instruct share?
25 benchmarks have published results for both models. Gemini 2.5 Flash has 54 scored results on Noometry and Qwen3-Next 80B-A3B Instruct has 25.