Model comparison
Gemini 2.5 Flash vs Llama 2-13B
Gemini 2.5 Flash is the stronger model overall, scoring 39.3 to 29.6 on the Noometry Index.
Last verified . 19 shared benchmarks.
Google
MetaSummary
- They share 19 benchmarks with published results for both. Gemini 2.5 Flash scores higher in 8 categories and Llama 2-13B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where Gemini 2.5 Flash leads 52.3 to 26.5.
- The biggest single-benchmark swing is DTBench: 76.5% for Gemini 2.5 Flash and 42.2% for Llama 2-13B.
- Llama 2-13B has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.5 Flash | Llama 2-13B | |
|---|---|---|
| Provider | Meta | |
| Noometry Index | 39.3 | 29.6 |
| 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 | 32 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Gemini 2.5 Flash leads
Gemini 2.5 Flash: 35.8 (#220), Llama 2-13B: 30.9 (#291)
| Benchmark | Gemini 2.5 Flash | Llama 2-13B |
|---|---|---|
| LMArena Coding | 1424 | 1062 |
| 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 2-13B: —
| Benchmark | Gemini 2.5 Flash | Llama 2-13B |
|---|---|---|
| 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 2-13B: 12.8 (#337)
| Benchmark | Gemini 2.5 Flash | Llama 2-13B |
|---|---|---|
| LMArena Hard Prompts | 1422 | 1051 |
| DTBench | 76.5% | 42.2% |
| Epoch Capabilities Index | 143.03 | 106.17 |
| 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% | — |
| LMCA | 27.5% | — |
| BIG-Bench Hard | — | 58.2% |
| ForecastBench | 60.6 | — |
| HellaSwag | — | 80.7% |
| LAMBADA | — | 76.5% |
| PIQA | — | 80.8% |
| WinoGrande | — | 72.8% |
Math Gemini 2.5 Flash leads
Gemini 2.5 Flash: 39.9 (#98), Llama 2-13B: 31.1 (#229)
| Benchmark | Gemini 2.5 Flash | Llama 2-13B |
|---|---|---|
| LMArena Math | 1415 | 1065 |
| OTIS Mock AIME 2024-2025 | 73.1% | — |
| Omni-MATH | 38.5% | — |
| FrontierMath (Feb 2025 set) | 4.8% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
| GSM8K | — | 36.9% |
Knowledge Gemini 2.5 Flash leads
Gemini 2.5 Flash: 36.4 (#168), Llama 2-13B: 28.1 (#249)
| Benchmark | Gemini 2.5 Flash | Llama 2-13B |
|---|---|---|
| LMArena Expert | 1426 | 1030 |
| Humanity's Last Exam | 12.1% | — |
| MMLU-Pro | 63.9% | — |
| Confabulations | 16.8% | — |
| Vectara Hallucination Rate | 7.8% | — |
| GPQA (HELM) | 39% | — |
| ARC (AI2) Challenge | — | 60.3% |
| BoolQ | — | 82.4% |
| MMLU | — | 55.6% |
| OpenBookQA | — | 57% |
| TriviaQA | — | 79.6% |
Multimodal Not comparable
Gemini 2.5 Flash: 41.8 (#32), Llama 2-13B: —
| Benchmark | Gemini 2.5 Flash | Llama 2-13B |
|---|---|---|
| LMArena Vision | 1253 | — |
| GeoBench | 76% | — |
| VPCT | 46.2% | — |
| ScienceQA | — | 55.8% |
| SpatialViz-Bench | 36.9% | — |
Multilingual Gemini 2.5 Flash leads
Gemini 2.5 Flash: 52.3 (#88), Llama 2-13B: 26.5 (#279)
| Benchmark | Gemini 2.5 Flash | Llama 2-13B |
|---|---|---|
| LMArena Non-English | 1409 | 1024 |
| LMArena Chinese | 1450 | 1001 |
| LMArena French | 1433 | 1044 |
| LMArena German | 1418 | 1009 |
| LMArena Japanese | 1405 | 894 |
| LMArena Korean | 1385 | 953 |
| LMArena Russian | 1415 | 1055 |
| LMArena Spanish | 1421 | 1087 |
Instruction Following Gemini 2.5 Flash leads
Gemini 2.5 Flash: 75.7 (#54), Llama 2-13B: 53.3 (#287)
| Benchmark | Gemini 2.5 Flash | Llama 2-13B |
|---|---|---|
| LMArena Instruction Following | 1405 | 1045 |
| IFEval | 89.8% | — |
Long Context Gemini 2.5 Flash leads
Gemini 2.5 Flash: 47.5 (#17), Llama 2-13B: 32.3 (#269)
| Benchmark | Gemini 2.5 Flash | Llama 2-13B |
|---|---|---|
| LMArena Longer Query | 1419 | 1064 |
| Fiction.LiveBench | 77.8% | — |
Writing & Preference Gemini 2.5 Flash leads
Gemini 2.5 Flash: 53.8 (#157), Llama 2-13B: 29.8 (#289)
| Benchmark | Gemini 2.5 Flash | Llama 2-13B |
|---|---|---|
| LMArena Text | 1417 | 1084 |
| LMArena Creative Writing | 1400 | 1047 |
| LMArena Multi-Turn | 1408 | 1050 |
| 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 2-13B?
Gemini 2.5 Flash is the stronger model overall, scoring 39.3 to 29.6 on the Noometry Index.
Is Gemini 2.5 Flash or Llama 2-13B better for coding?
Gemini 2.5 Flash scores higher on coding benchmarks: 35.8 versus 30.9 in the Noometry coding category.
How many benchmarks do Gemini 2.5 Flash and Llama 2-13B share?
19 benchmarks have published results for both models. Gemini 2.5 Flash has 54 scored results on Noometry and Llama 2-13B has 32.