Model comparison
Gemini 2.5 Pro vs Llama2 70b Steerlm Chat
Gemini 2.5 Pro is the stronger model overall, scoring 44.9 to 31.2 on the Noometry Index.
Last verified . 9 shared benchmarks.
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NVIDIASummary
- They share 9 benchmarks with published results for both. Gemini 2.5 Pro scores higher in 7 categories and Llama2 70b Steerlm Chat in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Gemini 2.5 Pro leads 63.9 to 31.8.
- Llama2 70b Steerlm Chat has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.5 Pro | Llama2 70b Steerlm Chat | |
|---|---|---|
| Provider | NVIDIA | |
| Noometry Index | 44.9 | 31.2 |
| Released | 2025-03-25 | — |
| Weights | Proprietary | Open |
| Context window | 1.05M | — |
| Max output | 66K | — |
| Input $ / M tokens | $1.25 | — |
| Output $ / M tokens | $10 | — |
| Results tracked | 78 | 9 |
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Category by category
Coding Gemini 2.5 Pro leads
Gemini 2.5 Pro: 42.8 (#86), Llama2 70b Steerlm Chat: 29.3 (#295)
| Benchmark | Gemini 2.5 Pro | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Coding | 1452 | 1025 |
| SWE-bench Verified | 57.6% | — |
| SWE-bench Verified (bash only) | 53.6% | — |
| Aider Polyglot | 83.1% | — |
| LMArena WebDev | 1227 | — |
| SciCode | 42.8% | — |
| GSO | 3.9% | — |
| WeirdML | 54% | — |
| LiveBench Coding | 85.9% | — |
| CadEval | 64% | — |
| ALE-Bench | 785.52 | — |
| AlgoTune | 1.51 | — |
Agentic & Tool Use Not comparable
Gemini 2.5 Pro: 29.1 (#81), Llama2 70b Steerlm Chat: —
| Benchmark | Gemini 2.5 Pro | Llama2 70b Steerlm Chat |
|---|---|---|
| Terminal-Bench | 32.6% | — |
| GDPval | 23.3% | — |
| Remote Labor Index | 0.8% | — |
| TheAgentCompany | 30.3% | — |
| τ²-bench Banking | 13.7% | — |
| DeepResearch Bench | 42.8% | — |
| BALROG | 43.3% | — |
| LMArena Search | 1142 | — |
| METR Time Horizons | 55.4% | — |
| Vending-Bench 2 | 573.64 | — |
Reasoning Gemini 2.5 Pro leads
Gemini 2.5 Pro: 28.8 (#85), Llama2 70b Steerlm Chat: 19.1 (#245)
| Benchmark | Gemini 2.5 Pro | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Hard Prompts | 1455 | 1047 |
| ARC-AGI-2 | 4.9% | — |
| SimpleBench | 62.4% | — |
| Kagi LLM Benchmark | 70.3% | — |
| ARC-AGI-1 | 41% | — |
| CritPt | 2% | — |
| Chess Puzzles | 20% | — |
| EnigmaEval | 5.6% | — |
| LiveBench Reasoning | 89.8% | — |
| DTBench | 82.4% | — |
| LiveBench Data Analysis | 79.9% | — |
| LMCA | 34.8% | — |
| Epoch Capabilities Index | 145.32 | — |
| ForecastBench | 61.3 | — |
| LiveBench | 82.3% | — |
Math Gemini 2.5 Pro leads
Gemini 2.5 Pro: 31.9 (#191), Llama2 70b Steerlm Chat: 28.8 (#223)
| Benchmark | Gemini 2.5 Pro | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Math | 1450 | 1072 |
| FrontierMath (Tiers 1-3) | 24.6% | — |
| FrontierMath Tier 4 | 0% | — |
| OTIS Mock AIME 2024-2025 | 84.7% | — |
| Omni-MATH | 41.6% | — |
| LiveBench Math | 90.2% | — |
| MATH Level 5 | 95.9% | — |
| FrontierMath (Feb 2025 set) | 14.1% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Not comparable
Gemini 2.5 Pro: 55.8 (#41), Llama2 70b Steerlm Chat: —
| Benchmark | Gemini 2.5 Pro | Llama2 70b Steerlm Chat |
|---|---|---|
| GPQA Diamond | 85.3% | — |
| Humanity's Last Exam | 21.6% | — |
| MMLU-Pro | 86.3% | — |
| Confabulations | 10.6% | — |
| Vectara Hallucination Rate | 7% | — |
| GPQA (HELM) | 74.9% | — |
| LMArena Expert | 1452 | — |
Multimodal Not comparable
Gemini 2.5 Pro: 44.5 (#16), Llama2 70b Steerlm Chat: —
| Benchmark | Gemini 2.5 Pro | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Vision | 1263 | — |
| GeoBench | 86% | — |
| VPCT | 48% | — |
| LMArena Document | 1421 | — |
| SpatialViz-Bench | 44.7% | — |
Multilingual Gemini 2.5 Pro leads
Gemini 2.5 Pro: 55.5 (#30), Llama2 70b Steerlm Chat: 28.9 (#265)
| Benchmark | Gemini 2.5 Pro | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Non-English | 1452 | 1064 |
| LMArena Chinese | 1507 | — |
| LMArena French | 1473 | — |
| LMArena German | 1487 | — |
| LMArena Japanese | 1462 | — |
| LMArena Korean | 1435 | — |
| LMArena Russian | 1460 | — |
| LMArena Spanish | 1473 | — |
Instruction Following Gemini 2.5 Pro leads
Gemini 2.5 Pro: 75.2 (#71), Llama2 70b Steerlm Chat: 54.5 (#274)
| Benchmark | Gemini 2.5 Pro | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Instruction Following | 1436 | 1061 |
| LiveBench Instruction Following | 80.6% | — |
| IFEval | 84% | — |
Long Context Gemini 2.5 Pro leads
Gemini 2.5 Pro: 59.7 (#5), Llama2 70b Steerlm Chat: 30.4 (#283)
| Benchmark | Gemini 2.5 Pro | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Longer Query | 1449 | 998 |
| Fiction.LiveBench | 91.7% | — |
Writing & Preference Gemini 2.5 Pro leads
Gemini 2.5 Pro: 63.9 (#60), Llama2 70b Steerlm Chat: 31.8 (#278)
| Benchmark | Gemini 2.5 Pro | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Text | 1458 | 1098 |
| LMArena Creative Writing | 1453 | 1091 |
| LMArena Multi-Turn | 1453 | 1058 |
| Short-Story Creative Writing | 83.8% | — |
| EQ-Bench Creative Writing | 1421 | — |
| WildBench | 85.7% | — |
| LiveBench Language | 67.8% | — |
Frequently asked questions
Is Gemini 2.5 Pro better than Llama2 70b Steerlm Chat?
Gemini 2.5 Pro is the stronger model overall, scoring 44.9 to 31.2 on the Noometry Index.
Is Gemini 2.5 Pro or Llama2 70b Steerlm Chat better for coding?
Gemini 2.5 Pro scores higher on coding benchmarks: 42.8 versus 29.3 in the Noometry coding category.
How many benchmarks do Gemini 2.5 Pro and Llama2 70b Steerlm Chat share?
9 benchmarks have published results for both models. Gemini 2.5 Pro has 78 scored results on Noometry and Llama2 70b Steerlm Chat has 9.