Model comparison
Gemini 1.5 Pro (May 2024) vs Qwen3-Next 80B-A3B Instruct
Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 43.0 to 32.1 on the Noometry Index.
Last verified . 22 shared benchmarks.
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Alibaba (Qwen)Summary
- They share 22 benchmarks with published results for both. Gemini 1.5 Pro (May 2024) scores higher in 1 category and Qwen3-Next 80B-A3B Instruct in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Qwen3-Next 80B-A3B Instruct leads 31.1 to 12.3.
- The biggest single-benchmark swing is Omni-MATH: 36.4% for Gemini 1.5 Pro (May 2024) and 46.7% for Qwen3-Next 80B-A3B Instruct.
- Qwen3-Next 80B-A3B Instruct has downloadable open weights; the other is API-only.
Side by side
| Gemini 1.5 Pro (May 2024) | Qwen3-Next 80B-A3B Instruct | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 32.1 | 43.0 |
| Released | 2024-02-15 | 2025-09 |
| Weights | Proprietary | Open |
| Context window | — | 131K |
| Max output | — | 33K |
| Input $ / M tokens | — | $0.50 |
| Output $ / M tokens | — | $2 |
| Results tracked | 45 | 25 |
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Category by category
Coding Qwen3-Next 80B-A3B Instruct leads
Gemini 1.5 Pro (May 2024): 34.2 (#241), Qwen3-Next 80B-A3B Instruct: 42.5 (#98)
| Benchmark | Gemini 1.5 Pro (May 2024) | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Coding | 1294 | 1440 |
| WeirdML | 22.2% | — |
| BigCodeBench Instruct | 43.8% | — |
| BigCodeBench Complete | 57.5% | — |
| CadEval | 34% | — |
| HumanEval+ | 79.3% | — |
| MBPP+ | 74.6% | — |
Agentic & Tool Use Not comparable
Gemini 1.5 Pro (May 2024): 17.9 (#145), Qwen3-Next 80B-A3B Instruct: —
| Benchmark | Gemini 1.5 Pro (May 2024) | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| TheAgentCompany | 3.4% | — |
| Cybench | 7.5% | — |
| BALROG | 21% | — |
Reasoning Qwen3-Next 80B-A3B Instruct leads
Gemini 1.5 Pro (May 2024): 12.3 (#338), Qwen3-Next 80B-A3B Instruct: 31.1 (#81)
| Benchmark | Gemini 1.5 Pro (May 2024) | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Hard Prompts | 1296 | 1428 |
| ARC-AGI-2 | 0.8% | — |
| SimpleBench | 27.1% | — |
| Kagi LLM Benchmark | — | 66.7% |
| DTBench | 59% | — |
| BIG-Bench Hard | 89.2% | — |
| Epoch Capabilities Index | 131.73 | — |
| ForecastBench | 58.4 | — |
Math Qwen3-Next 80B-A3B Instruct leads
Gemini 1.5 Pro (May 2024): 25.8 (#266), Qwen3-Next 80B-A3B Instruct: 38.8 (#126)
| Benchmark | Gemini 1.5 Pro (May 2024) | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Omni-MATH | 36.4% | 46.7% |
| LMArena Math | 1315 | 1440 |
| OTIS Mock AIME 2024-2025 | 23.1% | — |
| MATH Level 5 | 70.4% | — |
Knowledge Qwen3-Next 80B-A3B Instruct leads
Gemini 1.5 Pro (May 2024): 29.4 (#239), Qwen3-Next 80B-A3B Instruct: 41.8 (#106)
| Benchmark | Gemini 1.5 Pro (May 2024) | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| MMLU-Pro | 73.7% | 78.6% |
| GPQA (HELM) | 53.4% | 63% |
| LMArena Expert | 1279 | 1417 |
| GPQA Diamond | 57.2% | — |
| Humanity's Last Exam | 4.6% | — |
| Confabulations | 13.5% | — |
| Vectara Hallucination Rate | — | 9.3% |
| MMLU | 86.9% | — |
Multimodal Not comparable
Gemini 1.5 Pro (May 2024): 36.8 (#77), Qwen3-Next 80B-A3B Instruct: —
| Benchmark | Gemini 1.5 Pro (May 2024) | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Vision | 1161 | — |
| Video-MME | 75% | — |
Multilingual Qwen3-Next 80B-A3B Instruct leads
Gemini 1.5 Pro (May 2024): 45.3 (#174), Qwen3-Next 80B-A3B Instruct: 52.1 (#93)
| Benchmark | Gemini 1.5 Pro (May 2024) | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Non-English | 1312 | 1407 |
| LMArena Chinese | 1331 | 1460 |
| LMArena French | 1302 | 1413 |
| LMArena German | 1286 | 1417 |
| LMArena Japanese | 1292 | 1395 |
| LMArena Korean | 1298 | 1364 |
| LMArena Russian | 1320 | 1404 |
| LMArena Spanish | 1311 | 1435 |
Instruction Following Qwen3-Next 80B-A3B Instruct leads
Gemini 1.5 Pro (May 2024): 68.6 (#185), Qwen3-Next 80B-A3B Instruct: 70.8 (#159)
| Benchmark | Gemini 1.5 Pro (May 2024) | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| IFEval | 83.7% | 81% |
| LMArena Instruction Following | 1297 | 1389 |
Long Context Gemini 1.5 Pro (May 2024) leads
Gemini 1.5 Pro (May 2024): 39.8 (#169), Qwen3-Next 80B-A3B Instruct: 37.0 (#223)
| Benchmark | Gemini 1.5 Pro (May 2024) | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Longer Query | 1308 | 1403 |
| Fiction.LiveBench | — | 55.6% |
Writing & Preference Qwen3-Next 80B-A3B Instruct leads
Gemini 1.5 Pro (May 2024): 52.4 (#172), Qwen3-Next 80B-A3B Instruct: 58.0 (#121)
| Benchmark | Gemini 1.5 Pro (May 2024) | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Text | 1319 | 1417 |
| LMArena Creative Writing | 1333 | 1334 |
| WildBench | 81.3% | 80.7% |
| LMArena Multi-Turn | 1296 | 1416 |
Frequently asked questions
Is Gemini 1.5 Pro (May 2024) better than Qwen3-Next 80B-A3B Instruct?
Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 43.0 to 32.1 on the Noometry Index.
Is Gemini 1.5 Pro (May 2024) or Qwen3-Next 80B-A3B Instruct better for coding?
Qwen3-Next 80B-A3B Instruct scores higher on coding benchmarks: 42.5 versus 34.2 in the Noometry coding category.
How many benchmarks do Gemini 1.5 Pro (May 2024) and Qwen3-Next 80B-A3B Instruct share?
22 benchmarks have published results for both models. Gemini 1.5 Pro (May 2024) has 45 scored results on Noometry and Qwen3-Next 80B-A3B Instruct has 25.