Model comparison
Llama 3.1-8B vs Qwen3 Coder Next
Qwen3 Coder Next is the stronger model overall, scoring 34.3 to 23.0 on the Noometry Index. Llama 3.1-8B costs 5.0× less per token, which makes it the better buy when Qwen3 Coder Next's lead doesn't matter for your workload.
Last verified . 3 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- They share 3 benchmarks with published results for both. Llama 3.1-8B scores higher in 0 categories and Qwen3 Coder Next in 2 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in coding, where Qwen3 Coder Next leads 36.3 to 20.2.
- The biggest single-benchmark swing is WeirdML: 1.7% for Llama 3.1-8B and 34.4% for Qwen3 Coder Next.
- Llama 3.1-8B is cheaper at $0.05 / $0.08 per million input/output tokens, against $0.12 / $0.80 for Qwen3 Coder Next.
- Qwen3 Coder Next accepts more context: 262K tokens versus 128K.
Side by side
| Llama 3.1-8B | Qwen3 Coder Next | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 23.0 | 34.3 |
| Released | 2024-07-23 | 2026-02-02 |
| Weights | Open | Open |
| Context window | 128K | 262K |
| Max output | 4K | 66K |
| Input $ / M tokens | $0.05 | $0.12 |
| Output $ / M tokens | $0.08 | $0.80 |
| Results tracked | 43 | 3 |
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Category by category
Coding Qwen3 Coder Next leads
Llama 3.1-8B: 20.2 (#340), Qwen3 Coder Next: 36.3 (#210)
| Benchmark | Llama 3.1-8B | Qwen3 Coder Next |
|---|---|---|
| SciCode | 13.2% | 32.3% |
| WeirdML | 1.7% | 34.4% |
| BigCodeBench Instruct | 32.8% | — |
| LMArena Coding | 1195 | — |
| BigCodeBench Complete | 40.5% | — |
| HumanEval+ | 62.8% | — |
| MBPP+ | 55.6% | — |
Agentic & Tool Use Not comparable
Llama 3.1-8B: 22.5 (#131), Qwen3 Coder Next: —
| Benchmark | Llama 3.1-8B | Qwen3 Coder Next |
|---|---|---|
| Berkeley Function Calling Leaderboard | 25.8% | — |
| BALROG | 15.1% | — |
Reasoning Qwen3 Coder Next leads
Llama 3.1-8B: 14.9 (#321), Qwen3 Coder Next: 22.4 (#196)
| Benchmark | Llama 3.1-8B | Qwen3 Coder Next |
|---|---|---|
| CritPt | 0% | 0% |
| Chess Puzzles | 0% | — |
| LMArena Hard Prompts | 1175 | — |
| DTBench | 50.9% | — |
| LMCA | 5.4% | — |
| Epoch Capabilities Index | 116.57 | — |
| PIQA | 81.2% | — |
Math Not comparable
Llama 3.1-8B: 10.2 (#317), Qwen3 Coder Next: —
| Benchmark | Llama 3.1-8B | Qwen3 Coder Next |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 1.7% | — |
| Omni-MATH | 13.7% | — |
| LMArena Math | 1179 | — |
| MATH Level 5 | 22.9% | — |
| GSM8K | 82.4% | — |
Knowledge Not comparable
Llama 3.1-8B: 8.0 (#307), Qwen3 Coder Next: —
| Benchmark | Llama 3.1-8B | Qwen3 Coder Next |
|---|---|---|
| GPQA Diamond | 27% | — |
| MMLU-Pro | 40.6% | — |
| GPQA (HELM) | 24.7% | — |
| LMArena Expert | 1144 | — |
| BoolQ | 82.8% | — |
| MMLU | 56.1% | — |
Multilingual Not comparable
Llama 3.1-8B: 34.0 (#249), Qwen3 Coder Next: —
| Benchmark | Llama 3.1-8B | Qwen3 Coder Next |
|---|---|---|
| LMArena Non-English | 1148 | — |
| LMArena Chinese | 1151 | — |
| LMArena French | 1177 | — |
| LMArena German | 1144 | — |
| LMArena Japanese | 1061 | — |
| LMArena Korean | 1053 | — |
| LMArena Russian | 1158 | — |
| LMArena Spanish | 1169 | — |
Instruction Following Not comparable
Llama 3.1-8B: 58.9 (#258), Qwen3 Coder Next: —
| Benchmark | Llama 3.1-8B | Qwen3 Coder Next |
|---|---|---|
| IFEval | 74.3% | — |
| LMArena Instruction Following | 1159 | — |
Long Context Not comparable
Llama 3.1-8B: 35.8 (#238), Qwen3 Coder Next: —
| Benchmark | Llama 3.1-8B | Qwen3 Coder Next |
|---|---|---|
| LMArena Longer Query | 1182 | — |
Writing & Preference Not comparable
Llama 3.1-8B: 29.7 (#290), Qwen3 Coder Next: —
| Benchmark | Llama 3.1-8B | Qwen3 Coder Next |
|---|---|---|
| LMArena Text | 1187 | — |
| LMArena Creative Writing | 1154 | — |
| EQ-Bench Creative Writing | 713 | — |
| WildBench | 68.7% | — |
| LMArena Multi-Turn | 1172 | — |
Frequently asked questions
Is Llama 3.1-8B better than Qwen3 Coder Next?
Qwen3 Coder Next is the stronger model overall, scoring 34.3 to 23.0 on the Noometry Index. Llama 3.1-8B costs 5.0× less per token, which makes it the better buy when Qwen3 Coder Next's lead doesn't matter for your workload.
Which is cheaper, Llama 3.1-8B or Qwen3 Coder Next?
Llama 3.1-8B is cheaper. It lists at $0.05 per million input tokens and $0.08 per million output tokens; Qwen3 Coder Next lists at $0.12 and $0.80.
Is Llama 3.1-8B or Qwen3 Coder Next better for coding?
Qwen3 Coder Next scores higher on coding benchmarks: 36.3 versus 20.2 in the Noometry coding category.
Which has the bigger context window?
Qwen3 Coder Next does, with 262K tokens against 128K.
How many benchmarks do Llama 3.1-8B and Qwen3 Coder Next share?
3 benchmarks have published results for both models. Llama 3.1-8B has 43 scored results on Noometry and Qwen3 Coder Next has 3.