Model comparison
Gemini 2.5 Flash vs Llama 13b
Gemini 2.5 Flash is the stronger model overall, scoring 39.3 to 24.4 on the Noometry Index.
Last verified . 9 shared benchmarks.
Google
MetaSummary
- They share 9 benchmarks with published results for both. Gemini 2.5 Flash scores higher in 6 categories and Llama 13b in 0 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Gemini 2.5 Flash leads 53.8 to 13.8.
- Llama 13b has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.5 Flash | Llama 13b | |
|---|---|---|
| Provider | Meta | |
| Noometry Index | 39.3 | 24.4 |
| Released | 2025-04-17 | 2023-02-24 |
| Weights | Proprietary | Open |
| Context window | 1.05M | — |
| Max output | 66K | — |
| Input $ / M tokens | $0.30 | — |
| Output $ / M tokens | $2.50 | — |
| Results tracked | 54 | 21 |
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Category by category
Coding Gemini 2.5 Flash leads
Gemini 2.5 Flash: 35.8 (#220), Llama 13b: 21.4 (#337)
| Benchmark | Gemini 2.5 Flash | Llama 13b |
|---|---|---|
| LMArena Coding | 1424 | 683 |
| 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), Llama 13b: —
| Benchmark | Gemini 2.5 Flash | Llama 13b |
|---|---|---|
| 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: 18.1 (#286), Llama 13b: 14.0 (#329)
| Benchmark | Gemini 2.5 Flash | Llama 13b |
|---|---|---|
| LMArena Hard Prompts | 1422 | 728 |
| Epoch Capabilities Index | 143.03 | 100.58 |
| 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% | — |
| BIG-Bench Hard | — | 37.9% |
| ForecastBench | 60.6 | — |
| HellaSwag | — | 79.2% |
| LAMBADA | — | 75.2% |
| PIQA | — | 80.1% |
| WinoGrande | — | 73% |
Math Gemini 2.5 Flash leads
Gemini 2.5 Flash: 39.9 (#98), Llama 13b: 26.7 (#256)
| Benchmark | Gemini 2.5 Flash | Llama 13b |
|---|---|---|
| LMArena Math | 1415 | 838 |
| OTIS Mock AIME 2024-2025 | 73.1% | — |
| Omni-MATH | 38.5% | — |
| FrontierMath (Feb 2025 set) | 4.8% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
| GSM8K | — | 20.6% |
Knowledge Not comparable
Gemini 2.5 Flash: 36.4 (#168), Llama 13b: —
| Benchmark | Gemini 2.5 Flash | Llama 13b |
|---|---|---|
| Humanity's Last Exam | 12.1% | — |
| MMLU-Pro | 63.9% | — |
| Confabulations | 16.8% | — |
| Vectara Hallucination Rate | 7.8% | — |
| GPQA (HELM) | 39% | — |
| LMArena Expert | 1426 | — |
| ARC (AI2) Challenge | — | 52.7% |
| BoolQ | — | 78.7% |
| MMLU | — | 47.7% |
| OpenBookQA | — | 56.4% |
| TriviaQA | — | 77.9% |
Multimodal Not comparable
Gemini 2.5 Flash: 41.8 (#32), Llama 13b: —
| Benchmark | Gemini 2.5 Flash | Llama 13b |
|---|---|---|
| LMArena Vision | 1253 | — |
| GeoBench | 76% | — |
| VPCT | 46.2% | — |
| ScienceQA | — | 43.3% |
| SpatialViz-Bench | 36.9% | — |
Multilingual Gemini 2.5 Flash leads
Gemini 2.5 Flash: 52.3 (#88), Llama 13b: 16.6 (#297)
| Benchmark | Gemini 2.5 Flash | Llama 13b |
|---|---|---|
| LMArena Non-English | 1409 | 819 |
| 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), Llama 13b: 36.7 (#305)
| Benchmark | Gemini 2.5 Flash | Llama 13b |
|---|---|---|
| LMArena Instruction Following | 1405 | 781 |
| IFEval | 89.8% | — |
Long Context Not comparable
Gemini 2.5 Flash: 47.5 (#17), Llama 13b: —
| Benchmark | Gemini 2.5 Flash | Llama 13b |
|---|---|---|
| Fiction.LiveBench | 77.8% | — |
| LMArena Longer Query | 1419 | — |
Writing & Preference Gemini 2.5 Flash leads
Gemini 2.5 Flash: 53.8 (#157), Llama 13b: 13.8 (#312)
| Benchmark | Gemini 2.5 Flash | Llama 13b |
|---|---|---|
| LMArena Text | 1417 | 834 |
| LMArena Creative Writing | 1400 | 794 |
| LMArena Multi-Turn | 1408 | 753 |
| 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 13b?
Gemini 2.5 Flash is the stronger model overall, scoring 39.3 to 24.4 on the Noometry Index.
Is Gemini 2.5 Flash or Llama 13b better for coding?
Gemini 2.5 Flash scores higher on coding benchmarks: 35.8 versus 21.4 in the Noometry coding category.
How many benchmarks do Gemini 2.5 Flash and Llama 13b share?
9 benchmarks have published results for both models. Gemini 2.5 Flash has 54 scored results on Noometry and Llama 13b has 21.