Qwen2.5-Coder-32B-Instruct vs Gemma 3 12B IT
Gemma 3 12B IT comes out ahead, 70 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 pick
Google
Gemma 3 12B IT
70/100- ECI123.5
- Price$0.05 / $0.15
- Context131K
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Gemma 3 12B IT is our pick
Gemma 3 12B IT is the better all-round choice, scoring 70/100 against Qwen2.5-Coder-32B-Instruct (45). It leads on price and inputs & features. 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 priceGemma 3 12B ITGemma 3 12B IT $0.075 · Qwen2.5-Coder-32B-Instruct $0.473 per 1M tokens (3:1 blend)
- Longest contextAbout the sameQwen2.5-Coder-32B-Instruct 131,072 · Gemma 3 12B IT 131,072 tokens
- Widest inputsGemma 3 12B ITQwen2.5-Coder-32B-Instruct: Text · Gemma 3 12B IT: Text, Images
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Qwen2.5-Coder-32B-Instruct | Gemma 3 12B IT |
|---|---|---|---|
| Price | 50% | 65 | 100 |
| Inputs & features | 30% | 25 | 50 |
| Context window | 20% | 24 | 24 |
| Overall | 100% | 45/100 | 70/100 |
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 | ||
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | 123.5 |
| ECI rank | — | #138 of 148 |
| GPQA DiamondGraduate-level science questions | — | 39.5% |
| OTIS Mock AIME 2024–2025Competition mathematics | — | 16.7% |
| Price per million tokens | ||
| Input | $0.43 | $0.05 (best) |
| Output | $0.60 | $0.15 (best) |
| Cached input | — | — |
| Blended (3:1) | $0.473 | $0.075 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 4 providers | Median of 7 providers |
| Limits | ||
| Context window | 131,072 tokens | 131,072 tokens |
| Max output | 8,192 tokens | 131,072 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | Yes |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | No | No |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Open | Open |
| API model ID | — | — |
| API providers | 4 | 7 (best) |
| Released | Nov 12, 2024 | Mar 12, 2025 |
| Knowledge cutoff | — | Aug 2024 |
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
Gemma 3 12B IT$0.80
Which should you choose?
Which is better: Qwen2.5-Coder-32B-Instruct or Gemma 3 12B IT?
Gemma 3 12B IT is the better all-round choice, scoring 70/100 against Qwen2.5-Coder-32B-Instruct (45). It leads on price and inputs & features. 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 Gemma 3 12B IT?
Gemma 3 12B IT is cheaper at $0.05 input / $0.15 output per million tokens (median across 7 API providers). 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 $0.075 per million tokens for Gemma 3 12B IT versus $0.473 for Qwen2.5-Coder-32B-Instruct (6.3× 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 Gemma 3 12B IT has an ECI of 123.5.
Which is better for coding?
There are no published SWE-bench Verified results for Qwen2.5-Coder-32B-Instruct and Gemma 3 12B IT yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.
Which has the bigger context window?
Qwen2.5-Coder-32B-Instruct and Gemma 3 12B IT share the same 131,072-token context window. Maximum output per response: Qwen2.5-Coder-32B-Instruct up to 8,192, Gemma 3 12B IT up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Qwen2.5-Coder-32B-Instruct accepts text; Gemma 3 12B IT accepts text and images. Gemma 3 12B IT handles the widest range of inputs.
Are any of these open source?
Yes, both publish their weights, so you can self-host them.
Which is newer?
Gemma 3 12B IT is the newest, released Mar 12, 2025. Qwen2.5-Coder-32B-Instruct came out Nov 12, 2024. Knowledge cutoff: Gemma 3 12B IT Aug 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.