Model comparison
Gemini 4 Argon vs Olmo 2 0325 32b Instruct
Gemini 4 Argon is the stronger model overall, scoring 56.5 to 32.7 on the Noometry Index.
Last verified . 11 shared benchmarks.
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Allen Institute for AI (Ai2)Summary
- They share 11 benchmarks with published results for both. Gemini 4 Argon scores higher in 8 categories and Olmo 2 0325 32b Instruct in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemini 4 Argon leads 73.9 to 26.8.
- Olmo 2 0325 32b Instruct has downloadable open weights; the other is API-only.
Side by side
| Gemini 4 Argon | Olmo 2 0325 32b Instruct | |
|---|---|---|
| Provider | Allen Institute for AI (Ai2) | |
| Noometry Index | 56.5 | 32.7 |
| Released | 2026-09-30 | — |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 21 | 16 |
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Category by category
Coding Gemini 4 Argon leads
Gemini 4 Argon: 62.0 (#9), Olmo 2 0325 32b Instruct: 35.2 (#227)
| Benchmark | Gemini 4 Argon | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Coding | 1550 | 1210 |
| LMArena WebDev | 1678 | — |
| FrontierSWE | 55% | — |
| SciCode | 61.8% | — |
Agentic & Tool Use Not comparable
Gemini 4 Argon: 49.2 (#8), Olmo 2 0325 32b Instruct: —
| Benchmark | Gemini 4 Argon | Olmo 2 0325 32b Instruct |
|---|---|---|
| APEX-Agents | 82.2% | — |
| Vending-Bench 2 | 13,718 | — |
Reasoning Gemini 4 Argon leads
Gemini 4 Argon: 44.2 (#47), Olmo 2 0325 32b Instruct: 23.6 (#175)
| Benchmark | Gemini 4 Argon | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Hard Prompts | 1548 | 1208 |
| CritPt | 27.1% | — |
Math Gemini 4 Argon leads
Gemini 4 Argon: 73.9 (#17), Olmo 2 0325 32b Instruct: 26.8 (#255)
| Benchmark | Gemini 4 Argon | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Math | 1536 | 1208 |
| ProofBench | 99% | — |
| Omni-MATH | — | 16.1% |
Knowledge Gemini 4 Argon leads
Gemini 4 Argon: 43.9 (#89), Olmo 2 0325 32b Instruct: 19.5 (#279)
| Benchmark | Gemini 4 Argon | Olmo 2 0325 32b Instruct |
|---|---|---|
| MMLU-Pro | — | 41.4% |
| GPQA (HELM) | — | 28.7% |
| LMArena Expert | 1553 | — |
Multimodal Not comparable
Gemini 4 Argon: 46.5 (#14), Olmo 2 0325 32b Instruct: —
| Benchmark | Gemini 4 Argon | Olmo 2 0325 32b Instruct |
|---|---|---|
| Blueprint-Bench 2 | 54.4% | — |
Multilingual Gemini 4 Argon leads
Gemini 4 Argon: 60.3 (#1), Olmo 2 0325 32b Instruct: 34.8 (#248)
| Benchmark | Gemini 4 Argon | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Non-English | 1523 | 1160 |
| LMArena Chinese | 1610 | 1192 |
| LMArena Russian | 1537 | 1187 |
| LMArena Spanish | 1497 | — |
Instruction Following Gemini 4 Argon leads
Gemini 4 Argon: 80.1 (#2), Olmo 2 0325 32b Instruct: 61.5 (#244)
| Benchmark | Gemini 4 Argon | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Instruction Following | 1538 | 1186 |
| IFEval | — | 78% |
Long Context Gemini 4 Argon leads
Gemini 4 Argon: 47.6 (#15), Olmo 2 0325 32b Instruct: 36.2 (#234)
| Benchmark | Gemini 4 Argon | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Longer Query | 1549 | 1194 |
Writing & Preference Gemini 4 Argon leads
Gemini 4 Argon: 71.4 (#19), Olmo 2 0325 32b Instruct: 42.1 (#236)
| Benchmark | Gemini 4 Argon | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Text | 1534 | 1218 |
| LMArena Creative Writing | 1531 | 1199 |
| LMArena Multi-Turn | 1557 | 1221 |
| WildBench | — | 73.4% |
Frequently asked questions
Is Gemini 4 Argon better than Olmo 2 0325 32b Instruct?
Gemini 4 Argon is the stronger model overall, scoring 56.5 to 32.7 on the Noometry Index.
Is Gemini 4 Argon or Olmo 2 0325 32b Instruct better for coding?
Gemini 4 Argon scores higher on coding benchmarks: 62.0 versus 35.2 in the Noometry coding category.
How many benchmarks do Gemini 4 Argon and Olmo 2 0325 32b Instruct share?
11 benchmarks have published results for both models. Gemini 4 Argon has 21 scored results on Noometry and Olmo 2 0325 32b Instruct has 16.