Model comparison
Gemini 2.0 Flash (Feb 2025) vs Qwen3-Next 80B-A3B Instruct
Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 42.5 to 34.8 on the Noometry Index.
Last verified . 24 shared benchmarks.
Summary
- They share 24 benchmarks with published results for both. Gemini 2.0 Flash (Feb 2025) scores higher in 2 categories and Qwen3-Next 80B-A3B Instruct in 6 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Qwen3-Next 80B-A3B Instruct leads 30.1 to 15.2.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 37.8% for Gemini 2.0 Flash (Feb 2025) and 66.7% for Qwen3-Next 80B-A3B Instruct.
- Qwen3-Next 80B-A3B Instruct has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.0 Flash (Feb 2025) | Qwen3-Next 80B-A3B Instruct | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 34.8 | 42.5 |
| Released | 2024-12-06 | 2025-09 |
| Weights | Proprietary | Open |
| Context window | — | 131K |
| Max output | — | 33K |
| Input $ / M tokens | — | $0.50 |
| Output $ / M tokens | — | $2 |
| Results tracked | 54 | 25 |
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Category by category
Coding Qwen3-Next 80B-A3B Instruct leads
Gemini 2.0 Flash (Feb 2025): 28.2 (#308), Qwen3-Next 80B-A3B Instruct: 41.9 (#101)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Coding | 1351 | 1441 |
| SWE-bench Verified (bash only) | 13.5% | — |
| Aider Polyglot | 38.2% | — |
| WeirdML | 25.8% | — |
| BigCodeBench Instruct | 45.9% | — |
| LiveBench Coding | 63.4% | — |
| BigCodeBench Complete | 59.9% | — |
| CadEval | 30% | — |
Agentic & Tool Use Not comparable
Gemini 2.0 Flash (Feb 2025): 28.0 (#85), Qwen3-Next 80B-A3B Instruct: —
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| TheAgentCompany | 11.4% | — |
Reasoning Qwen3-Next 80B-A3B Instruct leads
Gemini 2.0 Flash (Feb 2025): 15.2 (#308), Qwen3-Next 80B-A3B Instruct: 30.1 (#79)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Kagi LLM Benchmark | 37.8% | 66.7% |
| LMArena Hard Prompts | 1346 | 1428 |
| ARC-AGI-2 | 1.3% | — |
| SimpleBench | 31.1% | — |
| EnigmaEval | 1.1% | — |
| LiveBench Reasoning | 78.2% | — |
| DTBench | 63.2% | — |
| LiveBench Data Analysis | 69.4% | — |
| Epoch Capabilities Index | 135.36 | — |
| LiveBench | 66.9% | — |
Math Too close to call
Gemini 2.0 Flash (Feb 2025): 36.1 (#127), Qwen3-Next 80B-A3B Instruct: 36.3 (#118)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Omni-MATH | 45.9% | 46.7% |
| LMArena Math | 1351 | 1440 |
| OTIS Mock AIME 2024-2025 | 57.8% | — |
| LiveBench Math | 75.8% | — |
| MATH Level 5 | 82.2% | — |
| FrontierMath (Feb 2025 set) | 1.7% | — |
Knowledge Qwen3-Next 80B-A3B Instruct leads
Gemini 2.0 Flash (Feb 2025): 32.0 (#207), Qwen3-Next 80B-A3B Instruct: 41.3 (#102)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| MMLU-Pro | 73.7% | 78.6% |
| GPQA (HELM) | 55.6% | 63% |
| LMArena Expert | 1340 | 1416 |
| GPQA Diamond | 64.1% | — |
| Humanity's Last Exam | 6.6% | — |
| Confabulations | 12.4% | — |
| Vectara Hallucination Rate | — | 9.3% |
| MMLU | 79.7% | — |
Multimodal Not comparable
Gemini 2.0 Flash (Feb 2025): 35.9 (#74), Qwen3-Next 80B-A3B Instruct: —
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Vision | 1158 | — |
| GeoBench | 77% | — |
Multilingual Qwen3-Next 80B-A3B Instruct leads
Gemini 2.0 Flash (Feb 2025): 47.6 (#144), Qwen3-Next 80B-A3B Instruct: 52.3 (#88)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Non-English | 1342 | 1407 |
| LMArena Chinese | 1373 | 1461 |
| LMArena French | 1390 | 1415 |
| LMArena German | 1354 | 1416 |
| LMArena Japanese | 1293 | 1398 |
| LMArena Korean | 1314 | 1366 |
| LMArena Russian | 1351 | 1403 |
| LMArena Spanish | 1363 | 1436 |
Instruction Following Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 74.6 (#91), Qwen3-Next 80B-A3B Instruct: 71.0 (#154)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| IFEval | 84.1% | 81% |
| LMArena Instruction Following | 1336 | 1388 |
| LiveBench Instruction Following | 85.8% | — |
Long Context Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 38.1 (#198), Qwen3-Next 80B-A3B Instruct: 37.0 (#218)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Fiction.LiveBench | 61.1% | 55.6% |
| LMArena Longer Query | 1345 | 1403 |
Writing & Preference Qwen3-Next 80B-A3B Instruct leads
Gemini 2.0 Flash (Feb 2025): 49.8 (#184), Qwen3-Next 80B-A3B Instruct: 58.2 (#116)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Text | 1354 | 1417 |
| LMArena Creative Writing | 1340 | 1333 |
| WildBench | 80% | 80.7% |
| LMArena Multi-Turn | 1350 | 1415 |
| Short-Story Creative Writing | 73.8% | — |
| EQ-Bench Creative Writing | 1128 | — |
| LiveBench Language | 51.3% | — |
Frequently asked questions
Is Gemini 2.0 Flash (Feb 2025) better than Qwen3-Next 80B-A3B Instruct?
Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 42.5 to 34.8 on the Noometry Index.
Is Gemini 2.0 Flash (Feb 2025) or Qwen3-Next 80B-A3B Instruct better for coding?
Qwen3-Next 80B-A3B Instruct scores higher on coding benchmarks: 41.9 versus 28.2 in the Noometry coding category.
How many benchmarks do Gemini 2.0 Flash (Feb 2025) and Qwen3-Next 80B-A3B Instruct share?
24 benchmarks have published results for both models. Gemini 2.0 Flash (Feb 2025) has 54 scored results on Noometry and Qwen3-Next 80B-A3B Instruct has 25.
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