Qwen2.5-Coder-32B-Instruct vs Qwen2.5-Coder-0.5B
Qwen2.5-Coder-0.5B comes out ahead, 49 to 45 on our weighted score, and it is the cheaper option too.
Alibaba (Qwen)Qwen2.5-Coder-32B-Instruct
45/100- ECI—
- Price$0.43 / $0.60
- Context131K
- Our pickAlibaba (Qwen)
Qwen2.5-Coder-0.5B
49/100- ECI88.2
- Price$0.10 / $0.10
- Context33K
Add a model
Make it a three-way comparison.
Qwen2.5-Coder-0.5B is our pick
Qwen2.5-Coder-0.5B is the better all-round choice, scoring 49/100 against Qwen2.5-Coder-32B-Instruct (45). It leads on price. Qwen2.5-Coder-32B-Instruct wins on inputs & features and context window. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
- CapabilityNot enough dataNo independent benchmark covers every model here yet
- Lowest priceQwen2.5-Coder-0.5BQwen2.5-Coder-0.5B $0.10 · Qwen2.5-Coder-32B-Instruct $0.473 per 1M tokens (3:1 blend)
- Longest contextQwen2.5-Coder-32B-InstructQwen2.5-Coder-32B-Instruct 131,072 · Qwen2.5-Coder-0.5B 32,768 tokens
- Widest inputsSame inputsQwen2.5-Coder-32B-Instruct: Text · Qwen2.5-Coder-0.5B: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Qwen2.5-Coder-32B-Instruct | Qwen2.5-Coder-0.5B |
|---|---|---|---|
| Price | 50% | 65 | 97 |
| Inputs & features | 30% | 25 | 0 |
| Context window | 20% | 24 | 0 |
| Overall | 100% | 45/100 | 49/100 |
Left out because at least one model lacks the data: capability. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Qwen2.5-Coder-32B-InstructAlibaba (Qwen) | Qwen2.5-Coder-0.5BAlibaba (Qwen) |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | 88.2 |
| ECI rank | — | #148 of 148 |
| Price per million tokens | ||
| Input | $0.43 | $0.10 (best) |
| Output | $0.60 | $0.10 (best) |
| Cached input | — | — |
| Blended (3:1) | $0.473 | $0.10 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 4 providers | Median of 1 providers |
| Limits | ||
| Context window | 131,072 tokens (best) | 32,768 tokens |
| Max output | 8,192 tokens | 8,192 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | No | No |
| Tool calling | Yes | No |
| Structured output | No | No |
| Availability | ||
| Weights | Open | OpenApache 2.0 |
| API model ID | — | — |
| API providers | 4 (best) | 1 |
| Released | Nov 12, 2024 | Nov 12, 2024 |
| Knowledge cutoff | — | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Qwen2.5-Coder-32B-Instruct$5.50
- Qwen2.5-Coder-0.5B$1.20
Which should you choose?
Which is better: Qwen2.5-Coder-32B-Instruct or Qwen2.5-Coder-0.5B?
Qwen2.5-Coder-0.5B is the better all-round choice, scoring 49/100 against Qwen2.5-Coder-32B-Instruct (45). It leads on price. Qwen2.5-Coder-32B-Instruct wins on inputs & features and context window. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Qwen2.5-Coder-32B-Instruct or Qwen2.5-Coder-0.5B?
Qwen2.5-Coder-0.5B is cheaper at $0.10 input / $0.10 output per million tokens (median across 1 API provider). Qwen2.5-Coder-32B-Instruct costs $0.43 input / $0.60 output per million tokens (median across 4 API providers). At a typical mix of three input tokens to one output token, that is $0.10 per million tokens for Qwen2.5-Coder-0.5B versus $0.473 for Qwen2.5-Coder-32B-Instruct (4.7× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Qwen2.5-Coder-32B-Instruct has not been scored yet and Qwen2.5-Coder-0.5B has an ECI of 88.2.
Which is better for coding?
There are no published SWE-bench Verified results for Qwen2.5-Coder-32B-Instruct and Qwen2.5-Coder-0.5B yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Qwen2.5-Coder-0.5B does not support tool calling, which most coding agents need.
Which has the bigger context window?
Qwen2.5-Coder-32B-Instruct has the largest context window at 131,072 tokens, against 32,768 for Qwen2.5-Coder-0.5B. Maximum output per response: Qwen2.5-Coder-32B-Instruct up to 8,192, Qwen2.5-Coder-0.5B up to 8,192 tokens.
Which can read images, PDFs, audio or video?
Qwen2.5-Coder-32B-Instruct accepts text; Qwen2.5-Coder-0.5B accepts text. They handle the same number of input types.
Are any of these open source?
Yes, both publish their weights (Apache 2.0), so you can self-host them.
Which is newer?
Qwen2.5-Coder-32B-Instruct is the newest, released Nov 12, 2024. Qwen2.5-Coder-0.5B came out Nov 12, 2024.
How do you decide the winner?
Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.
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