Model comparison
Gemini 3 Deep Think vs Llama 2-7B
Llama 2-7B has enough public results to be ranked (#317); Gemini 3 Deep Think does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
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MetaSummary
- The widest gap is in reasoning, where Gemini 3 Deep Think leads 70.2 to 15.7.
- Llama 2-7B has downloadable open weights; the other is API-only.
Side by side
| Gemini 3 Deep Think | Llama 2-7B | |
|---|---|---|
| Provider | Meta | |
| Noometry Index | 58.3 | 29.1 |
| Released | 2026-02-12 | 2023-07-18 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 3 | 29 |
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Category by category
Coding Not comparable
Gemini 3 Deep Think: —, Llama 2-7B: 29.2 (#307)
| Benchmark | Gemini 3 Deep Think | Llama 2-7B |
|---|---|---|
| LMArena Coding | — | 1002 |
Reasoning Gemini 3 Deep Think leads
Gemini 3 Deep Think: 70.2 (#14), Llama 2-7B: 15.7 (#312)
| Benchmark | Gemini 3 Deep Think | Llama 2-7B |
|---|---|---|
| ARC-AGI-2 | 84.6% | — |
| ARC-AGI-1 | 96% | — |
| CritPt | 25.7% | — |
| Chess Puzzles | — | 0% |
| LMArena Hard Prompts | — | 1009 |
| BIG-Bench Hard | — | 39.2% |
| Epoch Capabilities Index | — | 99.06 |
| HellaSwag | — | 77.2% |
| LAMBADA | — | 73.3% |
| PIQA | — | 78.8% |
| WinoGrande | — | 69.2% |
Math Not comparable
Gemini 3 Deep Think: —, Llama 2-7B: 30.7 (#233)
| Benchmark | Gemini 3 Deep Think | Llama 2-7B |
|---|---|---|
| LMArena Math | — | 1042 |
| GSM8K | — | 16.7% |
Knowledge Not comparable
Gemini 3 Deep Think: —, Llama 2-7B: 28.2 (#248)
| Benchmark | Gemini 3 Deep Think | Llama 2-7B |
|---|---|---|
| LMArena Expert | — | 1036 |
| ARC (AI2) Challenge | — | 45.9% |
| BoolQ | — | 77.9% |
| MMLU | — | 45.8% |
| OpenBookQA | — | 58.6% |
| TriviaQA | — | 73.7% |
Multimodal Not comparable
Gemini 3 Deep Think: —, Llama 2-7B: —
| Benchmark | Gemini 3 Deep Think | Llama 2-7B |
|---|---|---|
| ScienceQA | — | 43.1% |
Multilingual Not comparable
Gemini 3 Deep Think: —, Llama 2-7B: 23.8 (#293)
| Benchmark | Gemini 3 Deep Think | Llama 2-7B |
|---|---|---|
| LMArena Non-English | — | 973 |
| LMArena Chinese | — | 973 |
| LMArena French | — | 970 |
| LMArena German | — | 978 |
| LMArena Russian | — | 995 |
| LMArena Spanish | — | 1007 |
Instruction Following Not comparable
Gemini 3 Deep Think: —, Llama 2-7B: 50.8 (#298)
| Benchmark | Gemini 3 Deep Think | Llama 2-7B |
|---|---|---|
| LMArena Instruction Following | — | 1006 |
Long Context Not comparable
Gemini 3 Deep Think: —, Llama 2-7B: 30.4 (#287)
| Benchmark | Gemini 3 Deep Think | Llama 2-7B |
|---|---|---|
| LMArena Longer Query | — | 999 |
Writing & Preference Not comparable
Gemini 3 Deep Think: —, Llama 2-7B: 28.0 (#298)
| Benchmark | Gemini 3 Deep Think | Llama 2-7B |
|---|---|---|
| LMArena Text | — | 1053 |
| LMArena Creative Writing | — | 1033 |
| LMArena Multi-Turn | — | 1029 |
Frequently asked questions
Is Gemini 3 Deep Think better than Llama 2-7B?
Llama 2-7B has enough public results to be ranked (#317); Gemini 3 Deep Think does not yet, so treat this comparison as directional.
How many benchmarks do Gemini 3 Deep Think and Llama 2-7B share?
0 benchmarks have published results for both models. Gemini 3 Deep Think has 3 scored results on Noometry and Llama 2-7B has 29.