Model comparison
Kimi K2.7 Code vs Nvidia Llama 3.3 Nemotron Super 49b v1.5
Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 40.3 on the Noometry Index. Nvidia Llama 3.3 Nemotron Super 49b v1.5 costs 4.3× less per token, which makes it the better buy when Kimi K2.7 Code's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
NVIDIASummary
- The widest gap is in knowledge, where Kimi K2.7 Code leads 53.5 to 36.7.
- Nvidia Llama 3.3 Nemotron Super 49b v1.5 is cheaper at $0.40 / $0.40 per million input/output tokens, against $0.95 / $4 for Kimi K2.7 Code.
- Kimi K2.7 Code accepts more context: 262K tokens versus 131K.
Side by side
| Kimi K2.7 Code | Nvidia Llama 3.3 Nemotron Super 49b v1.5 | |
|---|---|---|
| Provider | Moonshot AI | NVIDIA |
| Noometry Index | 43.3 | 40.3 |
| Released | 2026-06-12 | 2025-07-25 |
| Weights | Open | Open |
| Context window | 262K | 131K |
| Max output | 262K | 131K |
| Input $ / M tokens | $0.95 | $0.40 |
| Output $ / M tokens | $4 | $0.40 |
| Results tracked | 19 | 12 |
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Category by category
Coding Kimi K2.7 Code leads
Kimi K2.7 Code: 42.9 (#95), Nvidia Llama 3.3 Nemotron Super 49b v1.5: 39.8 (#154)
| Benchmark | Kimi K2.7 Code | Nvidia Llama 3.3 Nemotron Super 49b v1.5 |
|---|---|---|
| DeepSWE | 30.5% | — |
| FrontierCode | 30.1% | — |
| LMArena WebDev | 1473 | — |
| SciCode | 47.5% | — |
| WeirdML | 54.1% | — |
| LMArena Coding | — | 1355 |
| ALE-Bench | 886.23 | — |
Agentic & Tool Use Not comparable
Kimi K2.7 Code: 24.0 (#122), Nvidia Llama 3.3 Nemotron Super 49b v1.5: —
| Benchmark | Kimi K2.7 Code | Nvidia Llama 3.3 Nemotron Super 49b v1.5 |
|---|---|---|
| APEX-Agents | 37.6% | — |
| GBAEval | 0.9% | — |
| Vending-Bench 2 | 5,083 | — |
Reasoning Kimi K2.7 Code leads
Kimi K2.7 Code: 39.0 (#61), Nvidia Llama 3.3 Nemotron Super 49b v1.5: 26.8 (#128)
| Benchmark | Kimi K2.7 Code | Nvidia Llama 3.3 Nemotron Super 49b v1.5 |
|---|---|---|
| SimpleBench | 57.9% | — |
| CritPt | 10% | — |
| Chess Puzzles | 21% | — |
| LMArena Hard Prompts | — | 1336 |
| Surface Evolver Bench | 48.8% | — |
| Epoch Capabilities Index | 149.97 | — |
Math Kimi K2.7 Code leads
Kimi K2.7 Code: 52.9 (#48), Nvidia Llama 3.3 Nemotron Super 49b v1.5: 38.2 (#141)
| Benchmark | Kimi K2.7 Code | Nvidia Llama 3.3 Nemotron Super 49b v1.5 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 54% | — |
| FrontierMath Tier 4 | 12.2% | — |
| OTIS Mock AIME 2024-2025 | 95.6% | — |
| LMArena Math | — | 1392 |
Knowledge Kimi K2.7 Code leads
Kimi K2.7 Code: 53.5 (#57), Nvidia Llama 3.3 Nemotron Super 49b v1.5: 36.7 (#165)
| Benchmark | Kimi K2.7 Code | Nvidia Llama 3.3 Nemotron Super 49b v1.5 |
|---|---|---|
| GPQA Diamond | 87.9% | — |
| SimpleQA Verified | 36.5% | — |
| LMArena Expert | — | 1330 |
Multilingual Not comparable
Kimi K2.7 Code: —, Nvidia Llama 3.3 Nemotron Super 49b v1.5: 45.5 (#168)
| Benchmark | Kimi K2.7 Code | Nvidia Llama 3.3 Nemotron Super 49b v1.5 |
|---|---|---|
| LMArena Non-English | — | 1316 |
| LMArena Japanese | — | 1300 |
| LMArena Russian | — | 1332 |
Instruction Following Not comparable
Kimi K2.7 Code: —, Nvidia Llama 3.3 Nemotron Super 49b v1.5: 68.6 (#188)
| Benchmark | Kimi K2.7 Code | Nvidia Llama 3.3 Nemotron Super 49b v1.5 |
|---|---|---|
| LMArena Instruction Following | — | 1299 |
Long Context Not comparable
Kimi K2.7 Code: —, Nvidia Llama 3.3 Nemotron Super 49b v1.5: 40.0 (#164)
| Benchmark | Kimi K2.7 Code | Nvidia Llama 3.3 Nemotron Super 49b v1.5 |
|---|---|---|
| LMArena Longer Query | — | 1315 |
Writing & Preference Not comparable
Kimi K2.7 Code: —, Nvidia Llama 3.3 Nemotron Super 49b v1.5: 53.1 (#159)
| Benchmark | Kimi K2.7 Code | Nvidia Llama 3.3 Nemotron Super 49b v1.5 |
|---|---|---|
| LMArena Text | — | 1338 |
| LMArena Creative Writing | — | 1307 |
| LMArena Multi-Turn | — | 1334 |
Frequently asked questions
Is Kimi K2.7 Code better than Nvidia Llama 3.3 Nemotron Super 49b v1.5?
Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 40.3 on the Noometry Index. Nvidia Llama 3.3 Nemotron Super 49b v1.5 costs 4.3× less per token, which makes it the better buy when Kimi K2.7 Code's lead doesn't matter for your workload.
Which is cheaper, Kimi K2.7 Code or Nvidia Llama 3.3 Nemotron Super 49b v1.5?
Nvidia Llama 3.3 Nemotron Super 49b v1.5 is cheaper. It lists at $0.40 per million input tokens and $0.40 per million output tokens; Kimi K2.7 Code lists at $0.95 and $4.
Is Kimi K2.7 Code or Nvidia Llama 3.3 Nemotron Super 49b v1.5 better for coding?
Kimi K2.7 Code scores higher on coding benchmarks: 42.9 versus 39.8 in the Noometry coding category.
Which has the bigger context window?
Kimi K2.7 Code does, with 262K tokens against 131K.
How many benchmarks do Kimi K2.7 Code and Nvidia Llama 3.3 Nemotron Super 49b v1.5 share?
0 benchmarks have published results for both models. Kimi K2.7 Code has 19 scored results on Noometry and Nvidia Llama 3.3 Nemotron Super 49b v1.5 has 12.