Model comparison
Gemini 3.7 Flash vs Qwen3-Next 80B-A3B Instruct
Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 42.5 on the Noometry Index. Qwen3-Next 80B-A3B Instruct costs 1.7× less per token, which makes it the better buy when Gemini 3.7 Flash's lead doesn't matter for your workload.
Last verified . 17 shared benchmarks.
Google
Alibaba (Qwen)Summary
- They share 17 benchmarks with published results for both. Gemini 3.7 Flash scores higher in 8 categories and Qwen3-Next 80B-A3B Instruct in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.7 Flash leads 70.1 to 30.1.
- Qwen3-Next 80B-A3B Instruct is cheaper at $0.50 / $2 per million input/output tokens, against $0.75 / $3.75 for Gemini 3.7 Flash.
- Gemini 3.7 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 3.7 Flash | Qwen3-Next 80B-A3B Instruct | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 59.8 | 42.5 |
| Released | 2026-08-13 | 2025-09 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 131K |
| Max output | 66K | 33K |
| Input $ / M tokens | $0.75 | $0.50 |
| Output $ / M tokens | $3.75 | $2 |
| Results tracked | 44 | 25 |
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Category by category
Coding Gemini 3.7 Flash leads
Gemini 3.7 Flash: 55.7 (#19), Qwen3-Next 80B-A3B Instruct: 41.9 (#101)
| Benchmark | Gemini 3.7 Flash | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Coding | 1499 | 1441 |
| DeepSWE | 65.5% | — |
| FrontierCode | 43.6% | — |
| LMArena WebDev | 1593 | — |
| FrontierSWE | 20.3% | — |
| SciCode | 59.8% | — |
| ALE-Bench | 904.3 | — |
Agentic & Tool Use Not comparable
Gemini 3.7 Flash: 42.2 (#18), Qwen3-Next 80B-A3B Instruct: —
| Benchmark | Gemini 3.7 Flash | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| APEX-Agents | 67.8% | — |
| Remote Labor Index | 5% | — |
| GDP.pdf | 23.8% | — |
Reasoning Gemini 3.7 Flash leads
Gemini 3.7 Flash: 70.1 (#12), Qwen3-Next 80B-A3B Instruct: 30.1 (#79)
| Benchmark | Gemini 3.7 Flash | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Hard Prompts | 1497 | 1428 |
| ARC-AGI-2 | 84.6% | — |
| Kagi LLM Benchmark | — | 66.7% |
| NYT Connections (extended) | 94% | — |
| ARC-AGI-1 | 95.5% | — |
| CritPt | 14.3% | — |
| Chess Puzzles | 47% | — |
| Mystery Game Puzzles | 37% | — |
| DTBench | 96.8% | — |
| LMCA | 50.4% | — |
| Epoch Capabilities Index | 157.72 | — |
Math Gemini 3.7 Flash leads
Gemini 3.7 Flash: 69.5 (#18), Qwen3-Next 80B-A3B Instruct: 36.3 (#118)
| Benchmark | Gemini 3.7 Flash | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Math | 1511 | 1440 |
| FrontierMath (Tiers 1-3) | 71.6% | — |
| FrontierMath Tier 4 | 36.6% | — |
| OTIS Mock AIME 2024-2025 | 97.2% | — |
| ProofBench | 58% | — |
| Omni-MATH | — | 46.7% |
Knowledge Gemini 3.7 Flash leads
Gemini 3.7 Flash: 69.8 (#4), Qwen3-Next 80B-A3B Instruct: 41.3 (#102)
| Benchmark | Gemini 3.7 Flash | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Expert | 1508 | 1416 |
| GPQA Diamond | 94.8% | — |
| SimpleQA Verified | 69.2% | — |
| MMLU-Pro | — | 78.6% |
| Vectara Hallucination Rate | — | 9.3% |
| GPQA (HELM) | — | 63% |
Multimodal Not comparable
Gemini 3.7 Flash: 36.9 (#69), Qwen3-Next 80B-A3B Instruct: —
| Benchmark | Gemini 3.7 Flash | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Vision | 1314 | — |
| Furniture Assembly | 26.7% | — |
Multilingual Gemini 3.7 Flash leads
Gemini 3.7 Flash: 57.8 (#7), Qwen3-Next 80B-A3B Instruct: 52.3 (#88)
| Benchmark | Gemini 3.7 Flash | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Non-English | 1485 | 1407 |
| LMArena Chinese | 1553 | 1461 |
| LMArena French | 1512 | 1415 |
| LMArena German | 1485 | 1416 |
| LMArena Japanese | 1506 | 1398 |
| LMArena Korean | 1486 | 1366 |
| LMArena Russian | 1519 | 1403 |
| LMArena Spanish | 1507 | 1436 |
Instruction Following Gemini 3.7 Flash leads
Gemini 3.7 Flash: 78.0 (#12), Qwen3-Next 80B-A3B Instruct: 71.0 (#154)
| Benchmark | Gemini 3.7 Flash | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Instruction Following | 1486 | 1388 |
| IFEval | — | 81% |
Long Context Gemini 3.7 Flash leads
Gemini 3.7 Flash: 45.8 (#28), Qwen3-Next 80B-A3B Instruct: 37.0 (#218)
| Benchmark | Gemini 3.7 Flash | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Longer Query | 1493 | 1403 |
| Fiction.LiveBench | — | 55.6% |
Writing & Preference Gemini 3.7 Flash leads
Gemini 3.7 Flash: 71.4 (#19), Qwen3-Next 80B-A3B Instruct: 58.2 (#116)
| Benchmark | Gemini 3.7 Flash | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Text | 1487 | 1417 |
| LMArena Creative Writing | 1490 | 1333 |
| LMArena Multi-Turn | 1495 | 1415 |
| EQ-Bench Creative Writing | 1723 | — |
| WildBench | — | 80.7% |
Frequently asked questions
Is Gemini 3.7 Flash better than Qwen3-Next 80B-A3B Instruct?
Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 42.5 on the Noometry Index. Qwen3-Next 80B-A3B Instruct costs 1.7× less per token, which makes it the better buy when Gemini 3.7 Flash's lead doesn't matter for your workload.
Which is cheaper, Gemini 3.7 Flash or Qwen3-Next 80B-A3B Instruct?
Qwen3-Next 80B-A3B Instruct is cheaper. It lists at $0.50 per million input tokens and $2 per million output tokens; Gemini 3.7 Flash lists at $0.75 and $3.75.
Is Gemini 3.7 Flash or Qwen3-Next 80B-A3B Instruct better for coding?
Gemini 3.7 Flash scores higher on coding benchmarks: 55.7 versus 41.9 in the Noometry coding category.
Which has the bigger context window?
Gemini 3.7 Flash does, with 1.05M tokens against 131K.
How many benchmarks do Gemini 3.7 Flash and Qwen3-Next 80B-A3B Instruct share?
17 benchmarks have published results for both models. Gemini 3.7 Flash has 44 scored results on Noometry and Qwen3-Next 80B-A3B Instruct has 25.