Model comparison
Kimi K2.5 vs Llama 3.1 Nemotron 70b Instruct
Kimi K2.5 is the stronger model overall, scoring 48.1 to 37.6 on the Noometry Index.
Last verified . 12 shared benchmarks.
NVIDIASummary
- They share 12 benchmarks with published results for both. Kimi K2.5 scores higher in 8 categories and Llama 3.1 Nemotron 70b Instruct in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Kimi K2.5 leads 53.6 to 34.1.
Side by side
| Kimi K2.5 | Llama 3.1 Nemotron 70b Instruct | |
|---|---|---|
| Provider | Moonshot AI | NVIDIA |
| Noometry Index | 48.1 | 37.6 |
| Released | 2026-01-27 | 2024-12-18 |
| Weights | Open | Open |
| Context window | 262K | — |
| Max output | 262K | — |
| Input $ / M tokens | $0.45 | — |
| Output $ / M tokens | $2.25 | — |
| Results tracked | 51 | 14 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Kimi K2.5 leads
Kimi K2.5: 48.8 (#53), Llama 3.1 Nemotron 70b Instruct: 35.9 (#216)
| Benchmark | Kimi K2.5 | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| LMArena Coding | 1474 | 1272 |
| SWE-bench Verified | 73.8% | — |
| SWE-bench Verified (bash only) | 70.8% | — |
| LMArena WebDev | 1437 | — |
| SWE-bench Multilingual | 67.3% | — |
| SciCode | 49% | — |
| WeirdML | 45.6% | — |
| BigCodeBench Instruct | — | 38.7% |
| BigCodeBench Complete | — | 48.2% |
| ALE-Bench | 821.65 | — |
Agentic & Tool Use Not comparable
Kimi K2.5: 34.2 (#48), Llama 3.1 Nemotron 70b Instruct: —
| Benchmark | Kimi K2.5 | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| Terminal-Bench | 43.2% | — |
| OSWorld | 63.3% | — |
| Vending-Bench 2 | 1,198 | — |
Reasoning Kimi K2.5 leads
Kimi K2.5: 31.2 (#80), Llama 3.1 Nemotron 70b Instruct: 25.0 (#152)
| Benchmark | Kimi K2.5 | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| LMArena Hard Prompts | 1453 | 1266 |
| ARC-AGI-2 | 11.8% | — |
| SimpleBench | 46.8% | — |
| Kagi LLM Benchmark | 78.5% | — |
| NYT Connections (extended) | 69.9% | — |
| ARC-AGI-1 | 65.3% | — |
| CritPt | 3.1% | — |
| Chess Puzzles | 12% | — |
| EnigmaEval | 3.4% | — |
| Thematic Generalization | 69.4% | — |
| Epoch Capabilities Index | 148.03 | — |
Math Kimi K2.5 leads
Kimi K2.5: 51.8 (#53), Llama 3.1 Nemotron 70b Instruct: 35.5 (#182)
| Benchmark | Kimi K2.5 | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| LMArena Math | 1470 | 1271 |
| MathArena Final-Answer Competitions | 62.3% | — |
| OTIS Mock AIME 2024-2025 | 92.2% | — |
| FrontierMath (Feb 2025 set) | 27.9% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Kimi K2.5 leads
Kimi K2.5: 53.6 (#56), Llama 3.1 Nemotron 70b Instruct: 34.1 (#199)
| Benchmark | Kimi K2.5 | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| LMArena Expert | 1466 | 1242 |
| GPQA Diamond | 87.6% | — |
| Humanity's Last Exam | 24.4% | — |
| SimpleQA Verified | 34.3% | — |
| Vectara Hallucination Rate | 14.2% | — |
Multimodal Not comparable
Kimi K2.5: 41.1 (#39), Llama 3.1 Nemotron 70b Instruct: —
| Benchmark | Kimi K2.5 | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| LMArena Vision | 1269 | — |
| LMArena Document | 1430 | — |
Multilingual Kimi K2.5 leads
Kimi K2.5: 53.9 (#53), Llama 3.1 Nemotron 70b Instruct: 40.5 (#217)
| Benchmark | Kimi K2.5 | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| LMArena Non-English | 1433 | 1245 |
| LMArena Chinese | 1495 | 1263 |
| LMArena Russian | 1435 | 1227 |
| LMArena French | 1454 | — |
| LMArena German | 1441 | — |
| LMArena Japanese | 1421 | — |
| LMArena Korean | 1410 | — |
| LMArena Spanish | 1450 | — |
Instruction Following Kimi K2.5 leads
Kimi K2.5: 75.3 (#64), Llama 3.1 Nemotron 70b Instruct: 65.9 (#213)
| Benchmark | Kimi K2.5 | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| LMArena Instruction Following | 1431 | 1252 |
Long Context Kimi K2.5 leads
Kimi K2.5: 52.1 (#7), Llama 3.1 Nemotron 70b Instruct: 37.6 (#215)
| Benchmark | Kimi K2.5 | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| LMArena Longer Query | 1445 | 1238 |
| Fiction.LiveBench | 86.1% | — |
| CL-bench | 19.3% | — |
| CL-bench Life | 13.2% | — |
Writing & Preference Kimi K2.5 leads
Kimi K2.5: 65.1 (#53), Llama 3.1 Nemotron 70b Instruct: 48.4 (#203)
| Benchmark | Kimi K2.5 | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| LMArena Text | 1445 | 1283 |
| LMArena Creative Writing | 1423 | 1269 |
| LMArena Multi-Turn | 1444 | 1275 |
| EQ-Bench Creative Writing | 1579 | — |
Frequently asked questions
Is Kimi K2.5 better than Llama 3.1 Nemotron 70b Instruct?
Kimi K2.5 is the stronger model overall, scoring 48.1 to 37.6 on the Noometry Index.
Is Kimi K2.5 or Llama 3.1 Nemotron 70b Instruct better for coding?
Kimi K2.5 scores higher on coding benchmarks: 48.8 versus 35.9 in the Noometry coding category.
How many benchmarks do Kimi K2.5 and Llama 3.1 Nemotron 70b Instruct share?
12 benchmarks have published results for both models. Kimi K2.5 has 51 scored results on Noometry and Llama 3.1 Nemotron 70b Instruct has 14.