Model comparison
DeepSeek-R1-Distill-Llama-70B vs Qwen3 Coder Next
DeepSeek-R1-Distill-Llama-70B is the stronger model overall, scoring 37.8 to 34.3 on the Noometry Index.
Last verified . 0 shared benchmarks.
DeepSeek
Alibaba (Qwen)Side by side
| DeepSeek-R1-Distill-Llama-70B | Qwen3 Coder Next | |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 37.8 | 34.3 |
| Released | 2025-01-20 | 2026-02-02 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.12 |
| Output $ / M tokens | — | $0.80 |
| Results tracked | 13 | 3 |
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Category by category
Coding Too close to call
DeepSeek-R1-Distill-Llama-70B: 36.8 (#202), Qwen3 Coder Next: 36.3 (#210)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Qwen3 Coder Next |
|---|---|---|
| SciCode | — | 32.3% |
| WeirdML | — | 34.4% |
| BigCodeBench Instruct | 35.3% | — |
| LiveBench Coding | 51.6% | — |
| BigCodeBench Complete | 49.9% | — |
Reasoning DeepSeek-R1-Distill-Llama-70B leads
DeepSeek-R1-Distill-Llama-70B: 24.9 (#156), Qwen3 Coder Next: 22.4 (#196)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Qwen3 Coder Next |
|---|---|---|
| Kagi LLM Benchmark | 52.3% | — |
| CritPt | — | 0% |
| LiveBench Reasoning | 67.6% | — |
| LiveBench Data Analysis | 55.9% | — |
| LiveBench | 54.5% | — |
Math Not comparable
DeepSeek-R1-Distill-Llama-70B: 36.0 (#176), Qwen3 Coder Next: —
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Qwen3 Coder Next |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 51.4% | — |
| LiveBench Math | 58.1% | — |
| MATH Level 5 | 89.9% | — |
Knowledge Not comparable
DeepSeek-R1-Distill-Llama-70B: 30.7 (#225), Qwen3 Coder Next: —
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Qwen3 Coder Next |
|---|---|---|
| GPQA Diamond | 55.7% | — |
Instruction Following Not comparable
DeepSeek-R1-Distill-Llama-70B: 68.2 (#190), Qwen3 Coder Next: —
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Qwen3 Coder Next |
|---|---|---|
| LiveBench Instruction Following | 69.9% | — |
Writing & Preference Not comparable
DeepSeek-R1-Distill-Llama-70B: 49.0 (#194), Qwen3 Coder Next: —
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Qwen3 Coder Next |
|---|---|---|
| LiveBench Language | 23.8% | — |
Frequently asked questions
Is DeepSeek-R1-Distill-Llama-70B better than Qwen3 Coder Next?
DeepSeek-R1-Distill-Llama-70B is the stronger model overall, scoring 37.8 to 34.3 on the Noometry Index.
Is DeepSeek-R1-Distill-Llama-70B or Qwen3 Coder Next better for coding?
They score almost the same on coding (36.8 vs 36.3); test both on your own repository before choosing.
How many benchmarks do DeepSeek-R1-Distill-Llama-70B and Qwen3 Coder Next share?
0 benchmarks have published results for both models. DeepSeek-R1-Distill-Llama-70B has 13 scored results on Noometry and Qwen3 Coder Next has 3.