Model comparison
Gemini 3 Deep Think vs Llama 3-70B
Llama 3-70B 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 70.8 to 17.4.
- Llama 3-70B has downloadable open weights; the other is API-only.
Side by side
| Gemini 3 Deep Think | Llama 3-70B | |
|---|---|---|
| Provider | Meta | |
| Noometry Index | 58.5 | 28.5 |
| Released | 2026-02-12 | 2024-04-18 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 3 | 31 |
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Category by category
Coding Not comparable
Gemini 3 Deep Think: —, Llama 3-70B: 35.3 (#215)
| Benchmark | Gemini 3 Deep Think | Llama 3-70B |
|---|---|---|
| BigCodeBench Instruct | — | 43.6% |
| LMArena Coding | — | 1206 |
| BigCodeBench Complete | — | 54.5% |
| HumanEval+ | — | 72% |
| MBPP+ | — | 69% |
Agentic & Tool Use Not comparable
Gemini 3 Deep Think: —, Llama 3-70B: 20.9 (#132)
| Benchmark | Gemini 3 Deep Think | Llama 3-70B |
|---|---|---|
| Cybench | — | 5% |
Reasoning Gemini 3 Deep Think leads
Gemini 3 Deep Think: 70.8 (#11), Llama 3-70B: 17.4 (#284)
| Benchmark | Gemini 3 Deep Think | Llama 3-70B |
|---|---|---|
| ARC-AGI-2 | 84.6% | — |
| Kagi LLM Benchmark | — | 35.1% |
| ARC-AGI-1 | 96% | — |
| CritPt | 25.7% | — |
| LMArena Hard Prompts | — | 1195 |
| DTBench | — | 54.2% |
| Epoch Capabilities Index | — | 122.91 |
| ForecastBench | — | 57.1 |
| WinoGrande | — | 83.5% |
Math Not comparable
Gemini 3 Deep Think: —, Llama 3-70B: 12.0 (#299)
| Benchmark | Gemini 3 Deep Think | Llama 3-70B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 4.3% |
| LMArena Math | — | 1218 |
| MATH Level 5 | — | 22.6% |
Knowledge Not comparable
Gemini 3 Deep Think: —, Llama 3-70B: 20.8 (#272)
| Benchmark | Gemini 3 Deep Think | Llama 3-70B |
|---|---|---|
| GPQA Diamond | — | 40.6% |
| LMArena Expert | — | 1149 |
| MMLU | — | 79.3% |
Multilingual Not comparable
Gemini 3 Deep Think: —, Llama 3-70B: 33.8 (#246)
| Benchmark | Gemini 3 Deep Think | Llama 3-70B |
|---|---|---|
| LMArena Non-English | — | 1142 |
| LMArena Chinese | — | 1114 |
| LMArena French | — | 1231 |
| LMArena German | — | 1169 |
| LMArena Japanese | — | 1017 |
| LMArena Korean | — | 1017 |
| LMArena Russian | — | 1159 |
| LMArena Spanish | — | 1241 |
Instruction Following Not comparable
Gemini 3 Deep Think: —, Llama 3-70B: 62.8 (#233)
| Benchmark | Gemini 3 Deep Think | Llama 3-70B |
|---|---|---|
| LMArena Instruction Following | — | 1194 |
Long Context Not comparable
Gemini 3 Deep Think: —, Llama 3-70B: 35.6 (#235)
| Benchmark | Gemini 3 Deep Think | Llama 3-70B |
|---|---|---|
| LMArena Longer Query | — | 1174 |
Writing & Preference Not comparable
Gemini 3 Deep Think: —, Llama 3-70B: 43.0 (#225)
| Benchmark | Gemini 3 Deep Think | Llama 3-70B |
|---|---|---|
| LMArena Text | — | 1221 |
| LMArena Creative Writing | — | 1210 |
| LMArena Multi-Turn | — | 1223 |
Frequently asked questions
Is Gemini 3 Deep Think better than Llama 3-70B?
Llama 3-70B 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 3-70B share?
0 benchmarks have published results for both models. Gemini 3 Deep Think has 3 scored results on Noometry and Llama 3-70B has 31.