Model comparison
Gemini 2.5 Flash vs Llama 2-7B
Gemini 2.5 Flash is the stronger model overall, scoring 39.0 to 28.6 on the Noometry Index.
Last verified . 16 shared benchmarks.
Google
MetaSummary
- They share 16 benchmarks with published results for both. Gemini 2.5 Flash scores higher in 8 categories and Llama 2-7B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where Gemini 2.5 Flash leads 52.5 to 23.9.
- Llama 2-7B has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.5 Flash | Llama 2-7B | |
|---|---|---|
| Provider | Meta | |
| Noometry Index | 39.0 | 28.6 |
| Released | 2025-04-17 | 2023-07-18 |
| Weights | Proprietary | Open |
| Context window | 1.05M | — |
| Max output | 66K | — |
| Input $ / M tokens | $0.30 | — |
| Output $ / M tokens | $2.50 | — |
| Results tracked | 54 | 29 |
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Category by category
Coding Gemini 2.5 Flash leads
Gemini 2.5 Flash: 35.5 (#210), Llama 2-7B: 28.7 (#302)
| Benchmark | Gemini 2.5 Flash | Llama 2-7B |
|---|---|---|
| LMArena Coding | 1424 | 1002 |
| 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: 30.6 (#67), Llama 2-7B: —
| Benchmark | Gemini 2.5 Flash | Llama 2-7B |
|---|---|---|
| Terminal-Bench | 17.1% | — |
| Berkeley Function Calling Leaderboard | 56.2% | — |
| TheAgentCompany | 41.1% | — |
| BALROG | 33.5% | — |
| Vending-Bench 2 | 548.84 | — |
Reasoning Gemini 2.5 Flash leads
Gemini 2.5 Flash: 18.2 (#271), Llama 2-7B: 15.1 (#309)
| Benchmark | Gemini 2.5 Flash | Llama 2-7B |
|---|---|---|
| LMArena Hard Prompts | 1422 | 1009 |
| Epoch Capabilities Index | 143.04 | 98.54 |
| ARC-AGI-2 | 2.5% | — |
| SimpleBench | 41.2% | — |
| Kagi LLM Benchmark | 56.8% | — |
| ARC-AGI-1 | 33.3% | — |
| CritPt | 1.1% | — |
| Chess Puzzles | — | 0% |
| EnigmaEval | 2.7% | — |
| DTBench | 76.5% | — |
| LMCA | 27.5% | — |
| BIG-Bench Hard | — | 39.2% |
| ForecastBench | 60.6 | — |
| HellaSwag | — | 77.2% |
| LAMBADA | — | 73.3% |
| PIQA | — | 78.8% |
| WinoGrande | — | 69.2% |
Math Gemini 2.5 Flash leads
Gemini 2.5 Flash: 38.1 (#87), Llama 2-7B: 28.2 (#231)
| Benchmark | Gemini 2.5 Flash | Llama 2-7B |
|---|---|---|
| LMArena Math | 1415 | 1042 |
| OTIS Mock AIME 2024-2025 | 73.1% | — |
| Omni-MATH | 38.5% | — |
| FrontierMath (Feb 2025 set) | 4.8% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
| GSM8K | — | 16.7% |
Knowledge Gemini 2.5 Flash leads
Gemini 2.5 Flash: 36.1 (#162), Llama 2-7B: 27.7 (#243)
| Benchmark | Gemini 2.5 Flash | Llama 2-7B |
|---|---|---|
| LMArena Expert | 1426 | 1036 |
| Humanity's Last Exam | 12.1% | — |
| MMLU-Pro | 63.9% | — |
| Confabulations | 16.8% | — |
| Vectara Hallucination Rate | 7.8% | — |
| GPQA (HELM) | 39% | — |
| ARC (AI2) Challenge | — | 45.9% |
| BoolQ | — | 77.9% |
| MMLU | — | 45.8% |
| OpenBookQA | — | 58.6% |
| TriviaQA | — | 73.7% |
Multimodal Not comparable
Gemini 2.5 Flash: 41.2 (#31), Llama 2-7B: —
| Benchmark | Gemini 2.5 Flash | Llama 2-7B |
|---|---|---|
| LMArena Vision | 1254 | — |
| GeoBench | 76% | — |
| VPCT | 46.2% | — |
| ScienceQA | — | 43.1% |
| SpatialViz-Bench | 36.9% | — |
Multilingual Gemini 2.5 Flash leads
Gemini 2.5 Flash: 52.5 (#83), Llama 2-7B: 23.9 (#288)
| Benchmark | Gemini 2.5 Flash | Llama 2-7B |
|---|---|---|
| LMArena Non-English | 1410 | 973 |
| LMArena Chinese | 1450 | 973 |
| LMArena French | 1433 | 969 |
| LMArena German | 1419 | 978 |
| LMArena Russian | 1415 | 995 |
| LMArena Spanish | 1421 | 1007 |
| LMArena Japanese | 1403 | — |
| LMArena Korean | 1385 | — |
Instruction Following Gemini 2.5 Flash leads
Gemini 2.5 Flash: 75.9 (#50), Llama 2-7B: 51.0 (#293)
| Benchmark | Gemini 2.5 Flash | Llama 2-7B |
|---|---|---|
| LMArena Instruction Following | 1405 | 1006 |
| IFEval | 89.8% | — |
Long Context Gemini 2.5 Flash leads
Gemini 2.5 Flash: 47.5 (#16), Llama 2-7B: 30.4 (#282)
| Benchmark | Gemini 2.5 Flash | Llama 2-7B |
|---|---|---|
| LMArena Longer Query | 1419 | 999 |
| Fiction.LiveBench | 77.8% | — |
Writing & Preference Gemini 2.5 Flash leads
Gemini 2.5 Flash: 54.0 (#153), Llama 2-7B: 28.1 (#293)
| Benchmark | Gemini 2.5 Flash | Llama 2-7B |
|---|---|---|
| LMArena Text | 1417 | 1053 |
| LMArena Creative Writing | 1400 | 1033 |
| LMArena Multi-Turn | 1408 | 1029 |
| Short-Story Creative Writing | 76.5% | — |
| EQ-Bench Creative Writing | 1137 | — |
| WildBench | 81.7% | — |
Frequently asked questions
Is Gemini 2.5 Flash better than Llama 2-7B?
Gemini 2.5 Flash is the stronger model overall, scoring 39.0 to 28.6 on the Noometry Index.
Is Gemini 2.5 Flash or Llama 2-7B better for coding?
Gemini 2.5 Flash scores higher on coding benchmarks: 35.5 versus 28.7 in the Noometry coding category.
How many benchmarks do Gemini 2.5 Flash and Llama 2-7B share?
16 benchmarks have published results for both models. Gemini 2.5 Flash has 54 scored results on Noometry and Llama 2-7B has 29.