Qwen3-Coder 480B-A35B Instruct vs Pixtral Large (25.02) vs Sonar Deep Research
Pixtral Large (25.02) comes out ahead, 33 to 28 and 20 on our weighted score.
Alibaba (Qwen)
Qwen3-Coder 480B-A35B Instruct
28/100- ECI—
- Price$1.50 / $7.50
- Context262K
- Our pick
Mistral AI
Pixtral Large (25.02)
33/100- ECI—
- Price$2.00 / $6.00
- Context128K
Perplexity
Sonar Deep Research
20/100- ECI—
- Price$2.00 / $8.00
- Context128K
Pixtral Large (25.02) is our pick
Pixtral Large (25.02) is the better all-round choice, scoring 33/100 against Qwen3-Coder 480B-A35B Instruct (28) and Sonar Deep Research (20). It leads on inputs & features. Qwen3-Coder 480B-A35B Instruct wins on 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 priceQwen3-Coder 480B-A35B Instruct and Pixtral Large (25.02)Qwen3-Coder 480B-A35B Instruct $3.00 · Pixtral Large (25.02) $3.00 · Sonar Deep Research $3.50 per 1M tokens (3:1 blend)
- Longest contextQwen3-Coder 480B-A35B InstructQwen3-Coder 480B-A35B Instruct 262,144 · Pixtral Large (25.02) 128,000 · Sonar Deep Research 128,000 tokens
- Widest inputsPixtral Large (25.02)Qwen3-Coder 480B-A35B Instruct: Text · Pixtral Large (25.02): Text, Images · Sonar Deep Research: Text
- Self-hostingQwen3-Coder 480B-A35B InstructPublishes downloadable weights
| Measure | Weight | Qwen3-Coder 480B-A35B Instruct | Pixtral Large (25.02) | Sonar Deep Research |
|---|---|---|---|---|
| Price | 50% | 27 | 27 | 24 |
| Inputs & features | 30% | 25 | 50 | 10 |
| Context window | 20% | 37 | 24 | 24 |
| Overall | 100% | 28/100 | 33/100 | 20/100 |
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 (best) | $2.00 | $2.00 |
| Output | $7.50 | $6.00 (best) | $8.00 |
| Cached input | — | — | — |
| Blended (3:1) | $3.00 (best) | $3.00 (best) | $3.50 |
| Long-context rate | Over 32K: $2.70 / $13.50 | Same rate | Same rate |
| Price source | Official Alibaba API | Median of 3 providers | Official Perplexity API |
| Limits | |||
| Context window | 262,144 tokens (best) | 128,000 tokens | 128,000 tokens |
| Max output | 65,536 tokens (best) | 8,192 tokens | 32,768 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | No | Yesminimal · low · medium · high |
| Tool calling | Yes | Yes | No |
| Structured output | No | No | No |
| Availability | |||
| Weights | Open | Proprietary | Proprietary |
| API model ID | qwen3-coder-480b-a35b-instruct | — | sonar-deep-research |
| API providers | 7 (best) | 3 | 3 |
| Released | Apr 2025 | Apr 8, 2025 | Feb 1, 2025 |
| Knowledge cutoff | Apr 2025 | — | Jan 2025 |
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
Pixtral Large (25.02)$32.00
Sonar Deep Research$36.00
Which should you choose?
Which is better: Qwen3-Coder 480B-A35B Instruct, Pixtral Large (25.02) or Sonar Deep Research?
Pixtral Large (25.02) is the better all-round choice, scoring 33/100 against Qwen3-Coder 480B-A35B Instruct (28) and Sonar Deep Research (20). It leads on inputs & features. Qwen3-Coder 480B-A35B Instruct wins on 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, Pixtral Large (25.02) or Sonar Deep Research?
Qwen3-Coder 480B-A35B Instruct is cheaper at $1.50 input / $7.50 output per million tokens (official Alibaba API price). Pixtral Large (25.02) costs $2.00 input / $6.00 output per million tokens (median across 3 API providers); Sonar Deep Research costs $2.00 input / $8.00 output per million tokens (official Perplexity API price). At a typical mix of three input tokens to one output token, that is $3.00 per million tokens for Qwen3-Coder 480B-A35B Instruct versus $3.00 for Pixtral Large (25.02) (1× as much) and $3.50 for Sonar Deep Research (1.2× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Qwen3-Coder 480B-A35B Instruct has not been scored yet, Pixtral Large (25.02) has not been scored yet and Sonar Deep Research has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Qwen3-Coder 480B-A35B Instruct, Pixtral Large (25.02) and Sonar Deep Research yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Sonar Deep Research 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 128,000 for Pixtral Large (25.02) and 128,000 for Sonar Deep Research. Maximum output per response: Qwen3-Coder 480B-A35B Instruct up to 65,536, Pixtral Large (25.02) up to 8,192, Sonar Deep Research up to 32,768 tokens.
Which can read images, PDFs, audio or video?
Qwen3-Coder 480B-A35B Instruct accepts text; Pixtral Large (25.02) accepts text and images; Sonar Deep Research accepts text. Pixtral Large (25.02) handles the widest range of inputs.
Are any of these open source?
Qwen3-Coder 480B-A35B Instruct publishes its weights and can be self-hosted; Pixtral Large (25.02) and Sonar Deep Research is proprietary.
Which is newer?
Pixtral Large (25.02) is the newest, released Apr 8, 2025. Qwen3-Coder 480B-A35B Instruct came out Apr 2025; Sonar Deep Research came out Feb 1, 2025. Knowledge cutoff: Qwen3-Coder 480B-A35B Instruct Apr 2025, Sonar Deep Research Jan 2025.
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.