Model comparison
Gemini 2.5 Flash vs Llama2 70b Steerlm Chat
Gemini 2.5 Flash is the stronger model overall, scoring 39.3 to 31.8 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 Flash scores higher in 6 categories and Llama2 70b Steerlm Chat in 1 category; 7 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where Gemini 2.5 Flash leads 52.3 to 28.8.
- Llama2 70b Steerlm Chat has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.5 Flash | Llama2 70b Steerlm Chat | |
|---|---|---|
| Provider | NVIDIA | |
| Noometry Index | 39.3 | 31.8 |
| Released | 2025-04-17 | — |
| Weights | Proprietary | Open |
| Context window | 1.05M | — |
| Max output | 66K | — |
| Input $ / M tokens | $0.30 | — |
| Output $ / M tokens | $2.50 | — |
| Results tracked | 54 | 9 |
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Category by category
Coding Gemini 2.5 Flash leads
Gemini 2.5 Flash: 35.8 (#220), Llama2 70b Steerlm Chat: 29.9 (#300)
| Benchmark | Gemini 2.5 Flash | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Coding | 1424 | 1025 |
| SWE-bench Verified (bash only) | 28.7% | — |
| Aider Polyglot | 55.1% | — |
| WeirdML | 41.9% | — |
| ALE-Bench | 661.88 | — |
Agentic & Tool Use Not comparable
Gemini 2.5 Flash: 30.8 (#74), Llama2 70b Steerlm Chat: —
| Benchmark | Gemini 2.5 Flash | Llama2 70b Steerlm Chat |
|---|---|---|
| Terminal-Bench | 17.1% | — |
| Berkeley Function Calling Leaderboard | 56.2% | — |
| TheAgentCompany | 41.1% | — |
| BALROG | 33.5% | — |
| Vending-Bench 2 | 548.84 | — |
Reasoning Llama2 70b Steerlm Chat leads
Gemini 2.5 Flash: 18.1 (#286), Llama2 70b Steerlm Chat: 20.0 (#246)
| Benchmark | Gemini 2.5 Flash | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Hard Prompts | 1422 | 1047 |
| ARC-AGI-2 | 2.5% | — |
| SimpleBench | 41.2% | — |
| Kagi LLM Benchmark | 56.8% | — |
| ARC-AGI-1 | 33.3% | — |
| CritPt | 1.1% | — |
| EnigmaEval | 2.7% | — |
| DTBench | 76.5% | — |
| LMCA | 27.5% | — |
| Epoch Capabilities Index | 143.03 | — |
| ForecastBench | 60.6 | — |
Math Gemini 2.5 Flash leads
Gemini 2.5 Flash: 39.9 (#98), Llama2 70b Steerlm Chat: 31.3 (#226)
| Benchmark | Gemini 2.5 Flash | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Math | 1415 | 1072 |
| OTIS Mock AIME 2024-2025 | 73.1% | — |
| Omni-MATH | 38.5% | — |
| FrontierMath (Feb 2025 set) | 4.8% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Not comparable
Gemini 2.5 Flash: 36.4 (#168), Llama2 70b Steerlm Chat: —
| Benchmark | Gemini 2.5 Flash | Llama2 70b Steerlm Chat |
|---|---|---|
| Humanity's Last Exam | 12.1% | — |
| MMLU-Pro | 63.9% | — |
| Confabulations | 16.8% | — |
| Vectara Hallucination Rate | 7.8% | — |
| GPQA (HELM) | 39% | — |
| LMArena Expert | 1426 | — |
Multimodal Not comparable
Gemini 2.5 Flash: 41.8 (#32), Llama2 70b Steerlm Chat: —
| Benchmark | Gemini 2.5 Flash | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Vision | 1253 | — |
| GeoBench | 76% | — |
| VPCT | 46.2% | — |
| SpatialViz-Bench | 36.9% | — |
Multilingual Gemini 2.5 Flash leads
Gemini 2.5 Flash: 52.3 (#88), Llama2 70b Steerlm Chat: 28.8 (#270)
| Benchmark | Gemini 2.5 Flash | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Non-English | 1409 | 1063 |
| LMArena Chinese | 1450 | — |
| LMArena French | 1433 | — |
| LMArena German | 1418 | — |
| LMArena Japanese | 1405 | — |
| LMArena Korean | 1385 | — |
| LMArena Russian | 1415 | — |
| LMArena Spanish | 1421 | — |
Instruction Following Gemini 2.5 Flash leads
Gemini 2.5 Flash: 75.7 (#54), Llama2 70b Steerlm Chat: 54.2 (#279)
| Benchmark | Gemini 2.5 Flash | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Instruction Following | 1405 | 1060 |
| IFEval | 89.8% | — |
Long Context Gemini 2.5 Flash leads
Gemini 2.5 Flash: 47.5 (#17), Llama2 70b Steerlm Chat: 30.4 (#288)
| Benchmark | Gemini 2.5 Flash | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Longer Query | 1419 | 998 |
| Fiction.LiveBench | 77.8% | — |
Writing & Preference Gemini 2.5 Flash leads
Gemini 2.5 Flash: 53.8 (#157), Llama2 70b Steerlm Chat: 31.6 (#283)
| Benchmark | Gemini 2.5 Flash | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Text | 1417 | 1098 |
| LMArena Creative Writing | 1400 | 1091 |
| LMArena Multi-Turn | 1408 | 1058 |
| Short-Story Creative Writing | 76.5% | — |
| EQ-Bench Creative Writing | 1137 | — |
| WildBench | 81.7% | — |
Frequently asked questions
Is Gemini 2.5 Flash better than Llama2 70b Steerlm Chat?
Gemini 2.5 Flash is the stronger model overall, scoring 39.3 to 31.8 on the Noometry Index.
Is Gemini 2.5 Flash or Llama2 70b Steerlm Chat better for coding?
Gemini 2.5 Flash scores higher on coding benchmarks: 35.8 versus 29.9 in the Noometry coding category.
How many benchmarks do Gemini 2.5 Flash and Llama2 70b Steerlm Chat share?
9 benchmarks have published results for both models. Gemini 2.5 Flash has 54 scored results on Noometry and Llama2 70b Steerlm Chat has 9.