Model comparison
Kimi K2.6 vs Llama2 70b Steerlm Chat
Kimi K2.6 is the stronger model overall, scoring 47.5 to 31.2 on the Noometry Index.
Last verified . 9 shared benchmarks.
NVIDIASummary
- They share 9 benchmarks with published results for both. Kimi K2.6 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 writing & preference, where Kimi K2.6 leads 68.7 to 31.8.
Side by side
| Kimi K2.6 | Llama2 70b Steerlm Chat | |
|---|---|---|
| Provider | Moonshot AI | NVIDIA |
| Noometry Index | 47.5 | 31.2 |
| Released | 2026-04-20 | — |
| Weights | Open | Open |
| Context window | 262K | — |
| Max output | 262K | — |
| Input $ / M tokens | $0.95 | — |
| Output $ / M tokens | $4 | — |
| Results tracked | 51 | 9 |
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Category by category
Coding Kimi K2.6 leads
Kimi K2.6: 50.5 (#41), Llama2 70b Steerlm Chat: 29.3 (#295)
| Benchmark | Kimi K2.6 | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Coding | 1488 | 1025 |
| SWE-bench Verified | 76.7% | — |
| LMArena WebDev | 1509 | — |
| SciCode | 53.5% | — |
| WeirdML | 55.9% | — |
| ALE-Bench | 1,093 | — |
Agentic & Tool Use Not comparable
Kimi K2.6: 21.8 (#128), Llama2 70b Steerlm Chat: —
| Benchmark | Kimi K2.6 | Llama2 70b Steerlm Chat |
|---|---|---|
| OSWorld 2.0 | 4.6% | — |
| ExploitBench | 18.4% | — |
| GBAEval | 0.9% | — |
| GDP.pdf | 12% | — |
| Vending-Bench 2 | 6,205 | — |
Reasoning Kimi K2.6 leads
Kimi K2.6: 39.6 (#51), Llama2 70b Steerlm Chat: 19.1 (#245)
| Benchmark | Kimi K2.6 | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Hard Prompts | 1470 | 1047 |
| NYT Connections (extended) | 87.2% | — |
| CritPt | 8% | — |
| Chess Puzzles | 26% | — |
| EBR-Bench | 2.4% | — |
| Mystery Game Puzzles | 18% | — |
| DTBench | 90.9% | — |
| LMCA | 37.3% | — |
| Epoch Capabilities Index | 151.03 | — |
Math Kimi K2.6 leads
Kimi K2.6: 56.8 (#34), Llama2 70b Steerlm Chat: 28.8 (#223)
| Benchmark | Kimi K2.6 | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Math | 1475 | 1072 |
| FrontierMath (Tiers 1-3) | 57.2% | — |
| FrontierMath Tier 4 | 25.6% | — |
| MathArena Final-Answer Competitions | 72.9% | — |
| OTIS Mock AIME 2024-2025 | 96.1% | — |
| ProofBench | 16% | — |
| FrontierMath (Feb 2025 set) | 39% | — |
| FrontierMath Tier 4 (v1) | 14.6% | — |
Knowledge Not comparable
Kimi K2.6: 53.9 (#48), Llama2 70b Steerlm Chat: —
| Benchmark | Kimi K2.6 | Llama2 70b Steerlm Chat |
|---|---|---|
| GPQA Diamond | 90.8% | — |
| SimpleQA Verified | 34.9% | — |
| Vectara Hallucination Rate | 10.8% | — |
| LMArena Expert | 1491 | — |
Multimodal Not comparable
Kimi K2.6: 31.8 (#95), Llama2 70b Steerlm Chat: —
| Benchmark | Kimi K2.6 | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Vision | 1282 | — |
| Blueprint-Bench 2 | 3.9% | — |
| Furniture Assembly | 21.7% | — |
| LMArena Document | 1451 | — |
Multilingual Kimi K2.6 leads
Kimi K2.6: 55.1 (#35), Llama2 70b Steerlm Chat: 28.9 (#265)
| Benchmark | Kimi K2.6 | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Non-English | 1446 | 1064 |
| LMArena Chinese | 1521 | — |
| LMArena French | 1471 | — |
| LMArena German | 1449 | — |
| LMArena Japanese | 1442 | — |
| LMArena Korean | 1428 | — |
| LMArena Russian | 1446 | — |
| LMArena Spanish | 1463 | — |
Instruction Following Kimi K2.6 leads
Kimi K2.6: 76.5 (#40), Llama2 70b Steerlm Chat: 54.5 (#274)
| Benchmark | Kimi K2.6 | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Instruction Following | 1451 | 1061 |
Long Context Kimi K2.6 leads
Kimi K2.6: 44.9 (#50), Llama2 70b Steerlm Chat: 30.4 (#283)
| Benchmark | Kimi K2.6 | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Longer Query | 1468 | 998 |
Writing & Preference Kimi K2.6 leads
Kimi K2.6: 68.7 (#25), Llama2 70b Steerlm Chat: 31.8 (#278)
| Benchmark | Kimi K2.6 | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Text | 1455 | 1098 |
| LMArena Creative Writing | 1434 | 1091 |
| LMArena Multi-Turn | 1453 | 1058 |
| EQ-Bench Creative Writing | 1725 | — |
| EQ-Bench 4 | 1202 | — |
Frequently asked questions
Is Kimi K2.6 better than Llama2 70b Steerlm Chat?
Kimi K2.6 is the stronger model overall, scoring 47.5 to 31.2 on the Noometry Index.
Is Kimi K2.6 or Llama2 70b Steerlm Chat better for coding?
Kimi K2.6 scores higher on coding benchmarks: 50.5 versus 29.3 in the Noometry coding category.
How many benchmarks do Kimi K2.6 and Llama2 70b Steerlm Chat share?
9 benchmarks have published results for both models. Kimi K2.6 has 51 scored results on Noometry and Llama2 70b Steerlm Chat has 9.