Model comparison
Gemini 4 Argon vs Yi-1.5-34B
Gemini 4 Argon is the stronger model overall, scoring 56.5 to 30.6 on the Noometry Index.
Last verified . 13 shared benchmarks.
GoogleSummary
- They share 13 benchmarks with published results for both. Gemini 4 Argon scores higher in 8 categories and Yi-1.5-34B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemini 4 Argon leads 73.9 to 27.5.
- Yi-1.5-34B has downloadable open weights; the other is API-only.
Side by side
| Gemini 4 Argon | Yi-1.5-34B | |
|---|---|---|
| Provider | 01.AI | |
| Noometry Index | 56.5 | 30.6 |
| Released | 2026-09-30 | 2024-05-13 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 21 | 21 |
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Category by category
Coding Gemini 4 Argon leads
Gemini 4 Argon: 62.0 (#9), Yi-1.5-34B: 32.4 (#272)
| Benchmark | Gemini 4 Argon | Yi-1.5-34B |
|---|---|---|
| LMArena Coding | 1550 | 1169 |
| LMArena WebDev | 1678 | — |
| FrontierSWE | 55% | — |
| SciCode | 61.8% | — |
| BigCodeBench Instruct | — | 33.9% |
| BigCodeBench Complete | — | 43.8% |
Agentic & Tool Use Not comparable
Gemini 4 Argon: 49.2 (#8), Yi-1.5-34B: —
| Benchmark | Gemini 4 Argon | Yi-1.5-34B |
|---|---|---|
| APEX-Agents | 82.2% | — |
| Vending-Bench 2 | 13,718 | — |
Reasoning Gemini 4 Argon leads
Gemini 4 Argon: 44.2 (#47), Yi-1.5-34B: 22.5 (#191)
| Benchmark | Gemini 4 Argon | Yi-1.5-34B |
|---|---|---|
| LMArena Hard Prompts | 1548 | 1160 |
| CritPt | 27.1% | — |
Math Gemini 4 Argon leads
Gemini 4 Argon: 73.9 (#17), Yi-1.5-34B: 27.5 (#249)
| Benchmark | Gemini 4 Argon | Yi-1.5-34B |
|---|---|---|
| LMArena Math | 1536 | 1182 |
| ProofBench | 99% | — |
| MATH Level 5 | — | 25.5% |
Knowledge Gemini 4 Argon leads
Gemini 4 Argon: 43.9 (#89), Yi-1.5-34B: 14.8 (#295)
| Benchmark | Gemini 4 Argon | Yi-1.5-34B |
|---|---|---|
| LMArena Expert | 1553 | 1144 |
| GPQA Diamond | — | 32% |
Multimodal Not comparable
Gemini 4 Argon: 46.5 (#14), Yi-1.5-34B: —
| Benchmark | Gemini 4 Argon | Yi-1.5-34B |
|---|---|---|
| Blueprint-Bench 2 | 54.4% | — |
Multilingual Gemini 4 Argon leads
Gemini 4 Argon: 60.3 (#1), Yi-1.5-34B: 32.3 (#256)
| Benchmark | Gemini 4 Argon | Yi-1.5-34B |
|---|---|---|
| LMArena Non-English | 1523 | 1121 |
| LMArena Chinese | 1610 | 1213 |
| LMArena Russian | 1537 | 1091 |
| LMArena Spanish | 1497 | 1121 |
| LMArena French | — | 1156 |
| LMArena German | — | 1111 |
| LMArena Japanese | — | 1021 |
| LMArena Korean | — | 1005 |
Instruction Following Gemini 4 Argon leads
Gemini 4 Argon: 80.1 (#2), Yi-1.5-34B: 59.2 (#257)
| Benchmark | Gemini 4 Argon | Yi-1.5-34B |
|---|---|---|
| LMArena Instruction Following | 1538 | 1139 |
Long Context Gemini 4 Argon leads
Gemini 4 Argon: 47.6 (#15), Yi-1.5-34B: 34.6 (#248)
| Benchmark | Gemini 4 Argon | Yi-1.5-34B |
|---|---|---|
| LMArena Longer Query | 1549 | 1143 |
Writing & Preference Gemini 4 Argon leads
Gemini 4 Argon: 71.4 (#19), Yi-1.5-34B: 37.4 (#257)
| Benchmark | Gemini 4 Argon | Yi-1.5-34B |
|---|---|---|
| LMArena Text | 1534 | 1173 |
| LMArena Creative Writing | 1531 | 1135 |
| LMArena Multi-Turn | 1557 | 1153 |
Frequently asked questions
Is Gemini 4 Argon better than Yi-1.5-34B?
Gemini 4 Argon is the stronger model overall, scoring 56.5 to 30.6 on the Noometry Index.
Is Gemini 4 Argon or Yi-1.5-34B better for coding?
Gemini 4 Argon scores higher on coding benchmarks: 62.0 versus 32.4 in the Noometry coding category.
How many benchmarks do Gemini 4 Argon and Yi-1.5-34B share?
13 benchmarks have published results for both models. Gemini 4 Argon has 21 scored results on Noometry and Yi-1.5-34B has 21.