Model comparison
Gemini 3.8 Flash vs Llama2 70b Steerlm Chat
Gemini 3.8 Flash is the stronger model overall, scoring 61.8 to 31.8 on the Noometry Index.
Last verified . 9 shared benchmarks.
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NVIDIASummary
- They share 9 benchmarks with published results for both. Gemini 3.8 Flash scores higher in 7 categories and Llama2 70b Steerlm Chat in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.8 Flash leads 76.9 to 20.0.
- Llama2 70b Steerlm Chat has downloadable open weights; the other is API-only.
Side by side
| Gemini 3.8 Flash | Llama2 70b Steerlm Chat | |
|---|---|---|
| Provider | NVIDIA | |
| Noometry Index | 61.8 | 31.8 |
| Released | 2026-09-02 | — |
| Weights | Proprietary | Open |
| Context window | 1.05M | — |
| Max output | 66K | — |
| Input $ / M tokens | $0.75 | — |
| Output $ / M tokens | $3.75 | — |
| Results tracked | 50 | 9 |
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Category by category
Coding Gemini 3.8 Flash leads
Gemini 3.8 Flash: 59.2 (#15), Llama2 70b Steerlm Chat: 29.9 (#300)
| Benchmark | Gemini 3.8 Flash | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Coding | 1510 | 1025 |
| DeepSWE | 73.8% | — |
| FrontierCode | 41.2% | — |
| CursorBench | 39.6% | — |
| LMArena WebDev | 1584 | — |
| FrontierSWE | 19.6% | — |
| SciCode | 56.6% | — |
| WeirdML | 84.8% | — |
| ALE-Bench | 1,270 | — |
Agentic & Tool Use Not comparable
Gemini 3.8 Flash: 41.8 (#21), Llama2 70b Steerlm Chat: —
| Benchmark | Gemini 3.8 Flash | Llama2 70b Steerlm Chat |
|---|---|---|
| APEX-Agents | 64.3% | — |
| Remote Labor Index | 5.8% | — |
| GDP.pdf | 23.4% | — |
| Vending-Bench 2 | 5,094 | — |
Reasoning Gemini 3.8 Flash leads
Gemini 3.8 Flash: 76.9 (#5), Llama2 70b Steerlm Chat: 20.0 (#246)
| Benchmark | Gemini 3.8 Flash | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Hard Prompts | 1508 | 1047 |
| ARC-AGI-2 | 89.2% | — |
| NYT Connections (extended) | 97.4% | — |
| ARC-AGI-1 | 98.5% | — |
| CritPt | 18.3% | — |
| Chess Puzzles | 61% | — |
| Mystery Game Puzzles | 47% | — |
| DTBench | 95.7% | — |
| LMCA | 52.9% | — |
| Surface Evolver Bench | 76.9% | — |
| Epoch Capabilities Index | 156.71 | — |
Math Gemini 3.8 Flash leads
Gemini 3.8 Flash: 65.3 (#28), Llama2 70b Steerlm Chat: 31.3 (#226)
| Benchmark | Gemini 3.8 Flash | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Math | 1528 | 1072 |
| FrontierMath (Tiers 1-3) | 68.4% | — |
| FrontierMath Tier 4 | 22% | — |
| OTIS Mock AIME 2024-2025 | 98.9% | — |
| ProofBench | 48% | — |
Knowledge Not comparable
Gemini 3.8 Flash: 74.8 (#2), Llama2 70b Steerlm Chat: —
| Benchmark | Gemini 3.8 Flash | Llama2 70b Steerlm Chat |
|---|---|---|
| GPQA Diamond | 95.4% | — |
| Humanity's Last Exam | 44.5% | — |
| SimpleQA Verified | 69.7% | — |
| LMArena Expert | 1524 | — |
Multimodal Not comparable
Gemini 3.8 Flash: 40.7 (#45), Llama2 70b Steerlm Chat: —
| Benchmark | Gemini 3.8 Flash | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Vision | 1314 | — |
| Blueprint-Bench 2 | 38.6% | — |
| Furniture Assembly | 31.7% | — |
Multilingual Gemini 3.8 Flash leads
Gemini 3.8 Flash: 58.0 (#5), Llama2 70b Steerlm Chat: 28.8 (#270)
| Benchmark | Gemini 3.8 Flash | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Non-English | 1491 | 1063 |
| LMArena Chinese | 1554 | — |
| LMArena French | 1498 | — |
| LMArena German | 1493 | — |
| LMArena Japanese | 1502 | — |
| LMArena Korean | 1459 | — |
| LMArena Russian | 1515 | — |
| LMArena Spanish | 1485 | — |
Instruction Following Gemini 3.8 Flash leads
Gemini 3.8 Flash: 78.0 (#13), Llama2 70b Steerlm Chat: 54.2 (#279)
| Benchmark | Gemini 3.8 Flash | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Instruction Following | 1490 | 1060 |
Long Context Gemini 3.8 Flash leads
Gemini 3.8 Flash: 46.3 (#24), Llama2 70b Steerlm Chat: 30.4 (#288)
| Benchmark | Gemini 3.8 Flash | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Longer Query | 1508 | 998 |
Writing & Preference Gemini 3.8 Flash leads
Gemini 3.8 Flash: 72.2 (#15), Llama2 70b Steerlm Chat: 31.6 (#283)
| Benchmark | Gemini 3.8 Flash | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Text | 1499 | 1098 |
| LMArena Creative Writing | 1492 | 1091 |
| LMArena Multi-Turn | 1501 | 1058 |
| EQ-Bench Creative Writing | 1748 | — |
Frequently asked questions
Is Gemini 3.8 Flash better than Llama2 70b Steerlm Chat?
Gemini 3.8 Flash is the stronger model overall, scoring 61.8 to 31.8 on the Noometry Index.
Is Gemini 3.8 Flash or Llama2 70b Steerlm Chat better for coding?
Gemini 3.8 Flash scores higher on coding benchmarks: 59.2 versus 29.9 in the Noometry coding category.
How many benchmarks do Gemini 3.8 Flash and Llama2 70b Steerlm Chat share?
9 benchmarks have published results for both models. Gemini 3.8 Flash has 50 scored results on Noometry and Llama2 70b Steerlm Chat has 9.