Qwen3-Coder 480B-A35B Instruct vs Llama-3.2-3B
Llama-3.2-3B comes out ahead, 49 to 28 on our weighted score, and it is the cheaper option too.
Alibaba (Qwen)
Qwen3-Coder 480B-A35B Instruct
28/100- ECI—
- Price$1.50 / $7.50
- Context262K
- Our pick
Meta
Llama-3.2-3B
49/100- ECI—
- Price$0.10 / $0.335
- Context131K
Add a model
Make it a three-way comparison.
Llama-3.2-3B is our pick
Llama-3.2-3B is the better all-round choice, scoring 49/100 against Qwen3-Coder 480B-A35B Instruct (28). It leads on price. Qwen3-Coder 480B-A35B 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 priceLlama-3.2-3BLlama-3.2-3B $0.159 · Qwen3-Coder 480B-A35B Instruct $3.00 per 1M tokens (3:1 blend)
- Longest contextQwen3-Coder 480B-A35B InstructQwen3-Coder 480B-A35B Instruct 262,144 · Llama-3.2-3B 131,072 tokens
- Widest inputsSame inputsQwen3-Coder 480B-A35B Instruct: Text · Llama-3.2-3B: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Qwen3-Coder 480B-A35B Instruct | Llama-3.2-3B |
|---|---|---|---|
| Price | 50% | 27 | 88 |
| Inputs & features | 30% | 25 | 0 |
| Context window | 20% | 37 | 24 |
| Overall | 100% | 28/100 | 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 | ||
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $1.50 | $0.10 (best) |
| Output | $7.50 | $0.335 (best) |
| Cached input | — | — |
| Blended (3:1) | $3.00 | $0.159 (best) |
| Long-context rate | Over 32K: $2.70 / $13.50 | Same rate |
| Price source | Official Alibaba API | Median of 3 providers |
| Limits | ||
| Context window | 262,144 tokens (best) | 131,072 tokens |
| Max output | 65,536 tokens (best) | 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 | OpenLlama 3.2 Community License |
| API model ID | qwen3-coder-480b-a35b-instruct | — |
| API providers | 7 (best) | 3 |
| Released | Apr 2025 | Sep 25, 2024 |
| Knowledge cutoff | Apr 2025 | Dec 2023 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
Qwen3-Coder 480B-A35B Instruct$30.00
Llama-3.2-3B$1.67
Which should you choose?
Which is better: Qwen3-Coder 480B-A35B Instruct or Llama-3.2-3B?
Llama-3.2-3B is the better all-round choice, scoring 49/100 against Qwen3-Coder 480B-A35B Instruct (28). It leads on price. Qwen3-Coder 480B-A35B 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, Qwen3-Coder 480B-A35B Instruct or Llama-3.2-3B?
Llama-3.2-3B is cheaper at $0.10 input / $0.335 output per million tokens (median across 3 API providers). Qwen3-Coder 480B-A35B Instruct costs $1.50 input / $7.50 output per million tokens (official Alibaba API price). At a typical mix of three input tokens to one output token, that is $0.159 per million tokens for Llama-3.2-3B versus $3.00 for Qwen3-Coder 480B-A35B Instruct (19× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Qwen3-Coder 480B-A35B Instruct has not been scored yet and Llama-3.2-3B has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Qwen3-Coder 480B-A35B Instruct and Llama-3.2-3B yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Llama-3.2-3B does not support tool calling, which most coding agents need.
Which has the bigger context window?
Qwen3-Coder 480B-A35B Instruct has the largest context window at 262,144 tokens, against 131,072 for Llama-3.2-3B. Maximum output per response: Qwen3-Coder 480B-A35B Instruct up to 65,536, Llama-3.2-3B up to 8,192 tokens.
Which can read images, PDFs, audio or video?
Qwen3-Coder 480B-A35B Instruct accepts text; Llama-3.2-3B accepts text. They handle the same number of input types.
Are any of these open source?
Yes, both publish their weights (Llama 3.2 Community License), so you can self-host them.
Which is newer?
Qwen3-Coder 480B-A35B Instruct is the newest, released Apr 2025. Llama-3.2-3B came out Sep 25, 2024. Knowledge cutoff: Qwen3-Coder 480B-A35B Instruct Apr 2025, Llama-3.2-3B Dec 2023.
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.