Model comparison
Qwen2.5 7B Instruct vs Qwen3-Coder 480B-A35B Instruct
Qwen3-Coder 480B-A35B Instruct is the stronger model overall, scoring 37.7 to 28.6 on the Noometry Index. Qwen2.5 7B Instruct costs 9.8× less per token, which makes it the better buy when Qwen3-Coder 480B-A35B Instruct's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)Summary
- The widest gap is in math, where Qwen3-Coder 480B-A35B Instruct leads 34.9 to 11.8.
- Qwen2.5 7B Instruct is cheaper at $0.17 / $0.70 per million input/output tokens, against $1.50 / $7.50 for Qwen3-Coder 480B-A35B Instruct.
- Qwen3-Coder 480B-A35B Instruct accepts more context: 262K tokens versus 131K.
Side by side
| Qwen2.5 7B Instruct | Qwen3-Coder 480B-A35B Instruct | |
|---|---|---|
| Provider | Alibaba (Qwen) | Alibaba (Qwen) |
| Noometry Index | 28.6 | 37.7 |
| Released | 2024-09 | 2025-04 |
| Weights | Open | Open |
| Context window | 131K | 262K |
| Max output | 8K | 66K |
| Input $ / M tokens | $0.17 | $1.50 |
| Output $ / M tokens | $0.70 | $7.50 |
| Results tracked | 15 | 25 |
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Category by category
Coding Too close to call
Qwen2.5 7B Instruct: 35.9 (#204), Qwen3-Coder 480B-A35B Instruct: 36.2 (#199)
| Benchmark | Qwen2.5 7B Instruct | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| SWE-bench Verified (bash only) | — | 55.4% |
| LMArena WebDev | — | 1275 |
| GSO | — | 4.9% |
| WeirdML | — | 41.2% |
| BigCodeBench Instruct | 37.6% | — |
| LMArena Coding | — | 1413 |
| BigCodeBench Complete | 46.1% | — |
| ALE-Bench | — | 461.45 |
| AlgoTune | — | 1.44 |
Agentic & Tool Use Too close to call
Qwen2.5 7B Instruct: 23.5 (#117), Qwen3-Coder 480B-A35B Instruct: 23.7 (#116)
| Benchmark | Qwen2.5 7B Instruct | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Terminal-Bench | — | 27.2% |
| BALROG | 7.8% | — |
Reasoning Qwen3-Coder 480B-A35B Instruct leads
Qwen2.5 7B Instruct: 14.3 (#317), Qwen3-Coder 480B-A35B Instruct: 24.7 (#141)
| Benchmark | Qwen2.5 7B Instruct | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Kagi LLM Benchmark | — | 49.5% |
| Chess Puzzles | 0% | — |
| LMArena Hard Prompts | — | 1372 |
| DTBench | 47.7% | — |
| LMCA | 6.4% | — |
| Epoch Capabilities Index | 118.44 | — |
Math Qwen3-Coder 480B-A35B Instruct leads
Qwen2.5 7B Instruct: 11.8 (#300), Qwen3-Coder 480B-A35B Instruct: 34.9 (#151)
| Benchmark | Qwen2.5 7B Instruct | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 2.5% | — |
| Omni-MATH | 29.4% | — |
| LMArena Math | — | 1364 |
Knowledge Qwen3-Coder 480B-A35B Instruct leads
Qwen2.5 7B Instruct: 17.0 (#281), Qwen3-Coder 480B-A35B Instruct: 36.4 (#159)
| Benchmark | Qwen2.5 7B Instruct | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| GPQA Diamond | 35.5% | — |
| MMLU-Pro | 53.9% | — |
| GPQA (HELM) | 34.1% | — |
| LMArena Expert | — | 1337 |
| MMLU | 72.9% | — |
Multilingual Not comparable
Qwen2.5 7B Instruct: —, Qwen3-Coder 480B-A35B Instruct: 47.8 (#143)
| Benchmark | Qwen2.5 7B Instruct | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Non-English | — | 1345 |
| LMArena Chinese | — | 1356 |
| LMArena French | — | 1394 |
| LMArena German | — | 1324 |
| LMArena Japanese | — | 1309 |
| LMArena Korean | — | 1307 |
| LMArena Russian | — | 1367 |
| LMArena Spanish | — | 1360 |
Instruction Following Qwen3-Coder 480B-A35B Instruct leads
Qwen2.5 7B Instruct: 63.4 (#226), Qwen3-Coder 480B-A35B Instruct: 71.8 (#142)
| Benchmark | Qwen2.5 7B Instruct | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| IFEval | 74.1% | — |
| LMArena Instruction Following | — | 1356 |
Long Context Not comparable
Qwen2.5 7B Instruct: —, Qwen3-Coder 480B-A35B Instruct: 42.0 (#126)
| Benchmark | Qwen2.5 7B Instruct | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Longer Query | — | 1379 |
Writing & Preference Qwen3-Coder 480B-A35B Instruct leads
Qwen2.5 7B Instruct: 48.8 (#194), Qwen3-Coder 480B-A35B Instruct: 55.5 (#142)
| Benchmark | Qwen2.5 7B Instruct | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Text | — | 1356 |
| LMArena Creative Writing | — | 1333 |
| WildBench | 73.1% | — |
| LMArena Multi-Turn | — | 1365 |
Frequently asked questions
Is Qwen2.5 7B Instruct better than Qwen3-Coder 480B-A35B Instruct?
Qwen3-Coder 480B-A35B Instruct is the stronger model overall, scoring 37.7 to 28.6 on the Noometry Index. Qwen2.5 7B Instruct costs 9.8× less per token, which makes it the better buy when Qwen3-Coder 480B-A35B Instruct's lead doesn't matter for your workload.
Which is cheaper, Qwen2.5 7B Instruct or Qwen3-Coder 480B-A35B Instruct?
Qwen2.5 7B Instruct is cheaper. It lists at $0.17 per million input tokens and $0.70 per million output tokens; Qwen3-Coder 480B-A35B Instruct lists at $1.50 and $7.50.
Is Qwen2.5 7B Instruct or Qwen3-Coder 480B-A35B Instruct better for coding?
They score almost the same on coding (35.9 vs 36.2); test both on your own repository before choosing.
Which has the bigger context window?
Qwen3-Coder 480B-A35B Instruct does, with 262K tokens against 131K.
How many benchmarks do Qwen2.5 7B Instruct and Qwen3-Coder 480B-A35B Instruct share?
0 benchmarks have published results for both models. Qwen2.5 7B Instruct has 15 scored results on Noometry and Qwen3-Coder 480B-A35B Instruct has 25.