Model comparison
Gemini 4 Argon vs Qwen3 14B
Gemini 4 Argon is the stronger model overall, scoring 56.5 to 35.5 on the Noometry Index.
Last verified . 2 shared benchmarks.
Google
Alibaba (Qwen)Summary
- They share 2 benchmarks with published results for both. Gemini 4 Argon scores higher in 6 categories and Qwen3 14B in 0 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemini 4 Argon leads 73.9 to 38.6.
- The biggest single-benchmark swing is SciCode: 61.8% for Gemini 4 Argon and 31.6% for Qwen3 14B.
- Qwen3 14B has downloadable open weights; the other is API-only.
Side by side
| Gemini 4 Argon | Qwen3 14B | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 56.5 | 35.5 |
| Released | 2026-09-30 | 2025-04 |
| Weights | Proprietary | Open |
| Context window | — | 131K |
| Max output | — | 8K |
| Input $ / M tokens | — | $0.35 |
| Output $ / M tokens | — | $1.40 |
| Results tracked | 21 | 12 |
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Category by category
Coding Gemini 4 Argon leads
Gemini 4 Argon: 62.0 (#9), Qwen3 14B: 37.3 (#195)
| Benchmark | Gemini 4 Argon | Qwen3 14B |
|---|---|---|
| SciCode | 61.8% | 31.6% |
| LMArena WebDev | 1678 | — |
| FrontierSWE | 55% | — |
| LMArena Coding | 1550 | — |
Agentic & Tool Use Gemini 4 Argon leads
Gemini 4 Argon: 49.2 (#8), Qwen3 14B: 29.6 (#83)
| Benchmark | Gemini 4 Argon | Qwen3 14B |
|---|---|---|
| APEX-Agents | 82.2% | — |
| Berkeley Function Calling Leaderboard | — | 41% |
| Vending-Bench 2 | 13,718 | — |
Reasoning Gemini 4 Argon leads
Gemini 4 Argon: 44.2 (#47), Qwen3 14B: 18.5 (#280)
| Benchmark | Gemini 4 Argon | Qwen3 14B |
|---|---|---|
| CritPt | 27.1% | 0% |
| Kagi LLM Benchmark | — | 49.1% |
| Chess Puzzles | — | 4% |
| LMArena Hard Prompts | 1548 | — |
| DTBench | — | 64% |
| LMCA | — | 18.2% |
| Epoch Capabilities Index | — | 138.23 |
Math Gemini 4 Argon leads
Gemini 4 Argon: 73.9 (#17), Qwen3 14B: 38.6 (#133)
| Benchmark | Gemini 4 Argon | Qwen3 14B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 66.4% |
| ProofBench | 99% | — |
| LMArena Math | 1536 | — |
Knowledge Gemini 4 Argon leads
Gemini 4 Argon: 43.9 (#89), Qwen3 14B: 39.3 (#134)
| Benchmark | Gemini 4 Argon | Qwen3 14B |
|---|---|---|
| GPQA Diamond | — | 63.8% |
| Vectara Hallucination Rate | — | 5.4% |
| LMArena Expert | 1553 | — |
Multimodal Not comparable
Gemini 4 Argon: 46.5 (#14), Qwen3 14B: —
| Benchmark | Gemini 4 Argon | Qwen3 14B |
|---|---|---|
| Blueprint-Bench 2 | 54.4% | — |
Multilingual Not comparable
Gemini 4 Argon: 60.3 (#1), Qwen3 14B: —
| Benchmark | Gemini 4 Argon | Qwen3 14B |
|---|---|---|
| LMArena Non-English | 1523 | — |
| LMArena Chinese | 1610 | — |
| LMArena Russian | 1537 | — |
| LMArena Spanish | 1497 | — |
Instruction Following Not comparable
Gemini 4 Argon: 80.1 (#2), Qwen3 14B: —
| Benchmark | Gemini 4 Argon | Qwen3 14B |
|---|---|---|
| LMArena Instruction Following | 1538 | — |
Long Context Gemini 4 Argon leads
Gemini 4 Argon: 47.6 (#15), Qwen3 14B: 38.1 (#204)
| Benchmark | Gemini 4 Argon | Qwen3 14B |
|---|---|---|
| Fiction.LiveBench | — | 62.5% |
| LMArena Longer Query | 1549 | — |
Writing & Preference Not comparable
Gemini 4 Argon: 71.4 (#19), Qwen3 14B: —
| Benchmark | Gemini 4 Argon | Qwen3 14B |
|---|---|---|
| LMArena Text | 1534 | — |
| LMArena Creative Writing | 1531 | — |
| LMArena Multi-Turn | 1557 | — |
Frequently asked questions
Is Gemini 4 Argon better than Qwen3 14B?
Gemini 4 Argon is the stronger model overall, scoring 56.5 to 35.5 on the Noometry Index.
Is Gemini 4 Argon or Qwen3 14B better for coding?
Gemini 4 Argon scores higher on coding benchmarks: 62.0 versus 37.3 in the Noometry coding category.
How many benchmarks do Gemini 4 Argon and Qwen3 14B share?
2 benchmarks have published results for both models. Gemini 4 Argon has 21 scored results on Noometry and Qwen3 14B has 12.