Model comparison
Gemini 4 Argon vs Qwen2.5 72B Instruct
Gemini 4 Argon is the stronger model overall, scoring 56.5 to 31.9 on the Noometry Index.
Last verified . 13 shared benchmarks.
Summary
- They share 13 benchmarks with published results for both. Gemini 4 Argon scores higher in 9 categories and Qwen2.5 72B Instruct in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemini 4 Argon leads 73.9 to 19.3.
- Qwen2.5 72B Instruct has downloadable open weights; the other is API-only.
Side by side
| Gemini 4 Argon | Qwen2.5 72B Instruct | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 56.5 | 31.9 |
| Released | 2026-09-30 | 2024-09 |
| Weights | Proprietary | Open |
| Context window | — | 131K |
| Max output | — | 8K |
| Input $ / M tokens | — | $1.40 |
| Output $ / M tokens | — | $5.60 |
| Results tracked | 21 | 43 |
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Category by category
Coding Gemini 4 Argon leads
Gemini 4 Argon: 62.0 (#9), Qwen2.5 72B Instruct: 33.2 (#260)
| Benchmark | Gemini 4 Argon | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Coding | 1550 | 1292 |
| LMArena WebDev | 1678 | — |
| FrontierSWE | 55% | — |
| SciCode | 61.8% | — |
| WeirdML | — | 16% |
| BigCodeBench Instruct | — | 45.8% |
| BigCodeBench Complete | — | 55.9% |
Agentic & Tool Use Gemini 4 Argon leads
Gemini 4 Argon: 49.2 (#8), Qwen2.5 72B Instruct: 22.1 (#133)
| Benchmark | Gemini 4 Argon | Qwen2.5 72B Instruct |
|---|---|---|
| APEX-Agents | 82.2% | — |
| TheAgentCompany | — | 5.7% |
| BALROG | — | 16.2% |
| METR Time Horizons | — | 35.8% |
| Vending-Bench 2 | 13,718 | — |
Reasoning Gemini 4 Argon leads
Gemini 4 Argon: 44.2 (#47), Qwen2.5 72B Instruct: 22.3 (#199)
| Benchmark | Gemini 4 Argon | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Hard Prompts | 1548 | 1271 |
| CritPt | 27.1% | — |
| DTBench | — | 62.9% |
| LMCA | — | 13.4% |
| BIG-Bench Hard | — | 79.8% |
| Epoch Capabilities Index | — | 129 |
| ForecastBench | — | 57.5 |
| HellaSwag | — | 84.8% |
| PIQA | — | 82.6% |
| WinoGrande | — | 82.3% |
Math Gemini 4 Argon leads
Gemini 4 Argon: 73.9 (#17), Qwen2.5 72B Instruct: 19.3 (#287)
| Benchmark | Gemini 4 Argon | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Math | 1536 | 1283 |
| OTIS Mock AIME 2024-2025 | — | 8.1% |
| ProofBench | 99% | — |
| Omni-MATH | — | 33% |
| MATH Level 5 | — | 63.2% |
Knowledge Gemini 4 Argon leads
Gemini 4 Argon: 43.9 (#89), Qwen2.5 72B Instruct: 27.0 (#253)
| Benchmark | Gemini 4 Argon | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Expert | 1553 | 1245 |
| GPQA Diamond | — | 49.1% |
| MMLU-Pro | — | 63.1% |
| Confabulations | — | 19.1% |
| GPQA (HELM) | — | 42.6% |
| ARC (AI2) Challenge | — | 94.5% |
| MMLU | — | 85.3% |
| TriviaQA | — | 71.9% |
Multimodal Not comparable
Gemini 4 Argon: 46.5 (#14), Qwen2.5 72B Instruct: —
| Benchmark | Gemini 4 Argon | Qwen2.5 72B Instruct |
|---|---|---|
| Blueprint-Bench 2 | 54.4% | — |
Multilingual Gemini 4 Argon leads
Gemini 4 Argon: 60.3 (#1), Qwen2.5 72B Instruct: 41.0 (#213)
| Benchmark | Gemini 4 Argon | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Non-English | 1523 | 1252 |
| LMArena Chinese | 1610 | 1272 |
| LMArena Russian | 1537 | 1264 |
| LMArena Spanish | 1497 | 1256 |
| LMArena French | — | 1280 |
| LMArena German | — | 1234 |
| LMArena Japanese | — | 1180 |
| LMArena Korean | — | 1188 |
Instruction Following Gemini 4 Argon leads
Gemini 4 Argon: 80.1 (#2), Qwen2.5 72B Instruct: 65.5 (#221)
| Benchmark | Gemini 4 Argon | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Instruction Following | 1538 | 1254 |
| IFEval | — | 80.6% |
Long Context Gemini 4 Argon leads
Gemini 4 Argon: 47.6 (#15), Qwen2.5 72B Instruct: 38.9 (#188)
| Benchmark | Gemini 4 Argon | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Longer Query | 1549 | 1282 |
Writing & Preference Gemini 4 Argon leads
Gemini 4 Argon: 71.4 (#19), Qwen2.5 72B Instruct: 46.7 (#215)
| Benchmark | Gemini 4 Argon | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Text | 1534 | 1269 |
| LMArena Creative Writing | 1531 | 1221 |
| LMArena Multi-Turn | 1557 | 1272 |
| WildBench | — | 80.2% |
Frequently asked questions
Is Gemini 4 Argon better than Qwen2.5 72B Instruct?
Gemini 4 Argon is the stronger model overall, scoring 56.5 to 31.9 on the Noometry Index.
Is Gemini 4 Argon or Qwen2.5 72B Instruct better for coding?
Gemini 4 Argon scores higher on coding benchmarks: 62.0 versus 33.2 in the Noometry coding category.
How many benchmarks do Gemini 4 Argon and Qwen2.5 72B Instruct share?
13 benchmarks have published results for both models. Gemini 4 Argon has 21 scored results on Noometry and Qwen2.5 72B Instruct has 43.