DeepSeek-R1-Distill-Qwen-32B vs DeepSeek V4 Pro
DeepSeek V4 Pro comes out ahead, 51 to 16 on our weighted score, and it is the cheaper option too.
DeepSeekDeepSeek-R1-Distill-Qwen-32B
16/100- ECI137.4
- Price—
- Context131K
- Our pickDeepSeek
DeepSeek V4 Pro
51/100- ECI—
- Price$1.32 / $3.00
- Context1M
Add a model
Make it a three-way comparison.
DeepSeek V4 Pro is our pick
DeepSeek V4 Pro is the better all-round choice, scoring 51/100 against DeepSeek-R1-Distill-Qwen-32B (16). It leads on inputs & features and context window. The score weighs inputs & features 60%, context window 40%. 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 priceDeepSeek V4 ProDeepSeek V4 Pro $1.74 per 1M tokens (3:1 blend) · DeepSeek-R1-Distill-Qwen-32B unpriced
- Longest contextDeepSeek V4 ProDeepSeek V4 Pro 1,000,000 · DeepSeek-R1-Distill-Qwen-32B 131,072 tokens
- Widest inputsSame inputsDeepSeek-R1-Distill-Qwen-32B: Text · DeepSeek V4 Pro: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | DeepSeek-R1-Distill-Qwen-32B | DeepSeek V4 Pro |
|---|---|---|---|
| Inputs & features | 60% | 10 | 45 |
| Context window | 40% | 24 | 60 |
| Overall | 100% | 16/100 | 51/100 |
Left out because at least one model lacks the data: capability and price. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | DeepSeek-R1-Distill-Qwen-32BDeepSeek | DeepSeek V4 ProDeepSeek |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 137.4 | — |
| ECI rank | #110 of 148 | — |
| GPQA DiamondGraduate-level science questions | 64.1% | — |
| OTIS Mock AIME 2024–2025Competition mathematics | 55.6% | — |
| Price per million tokens | ||
| Input | — | $1.32 |
| Output | — | $3.00 |
| Cached input | — | — |
| Blended (3:1) | — | $1.74 |
| Long-context rate | — | Same rate |
| Price source | — | Median of 49 providers |
| Limits | ||
| Context window | 131,072 tokens | 1,000,000 tokens (best) |
| Max output | 32,768 tokens | 384,000 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | Yes | Yes |
| Tool calling | No | Yes |
| Structured output | No | Yes |
| Availability | ||
| Weights | Open | Open |
| API model ID | — | — |
| API providers | — | 52 |
| Released | Jan 20, 2025 | Apr 24, 2026 |
| Knowledge cutoff | — | May 2025 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- DeepSeek-R1-Distill-Qwen-32B—
- DeepSeek V4 Pro$19.20
Which should you choose?
Which is better: DeepSeek-R1-Distill-Qwen-32B or DeepSeek V4 Pro?
DeepSeek V4 Pro is the better all-round choice, scoring 51/100 against DeepSeek-R1-Distill-Qwen-32B (16). It leads on inputs & features and context window. The score weighs inputs & features 60%, context window 40%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, DeepSeek-R1-Distill-Qwen-32B or DeepSeek V4 Pro?
DeepSeek V4 Pro is cheaper at $1.32 input / $3.00 output per million tokens (median across 49 API providers). . At a typical mix of three input tokens to one output token, that is $1.74 per million tokens for DeepSeek V4 Pro versus . DeepSeek-R1-Distill-Qwen-32B has no published per-token price.
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. DeepSeek-R1-Distill-Qwen-32B has an ECI of 137.4 and DeepSeek V4 Pro has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for DeepSeek-R1-Distill-Qwen-32B and DeepSeek V4 Pro yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that DeepSeek-R1-Distill-Qwen-32B does not support tool calling, which most coding agents need.
Which has the bigger context window?
DeepSeek V4 Pro has the largest context window at 1,000,000 tokens, against 131,072 for DeepSeek-R1-Distill-Qwen-32B. Maximum output per response: DeepSeek-R1-Distill-Qwen-32B up to 32,768, DeepSeek V4 Pro up to 384,000 tokens.
Which can read images, PDFs, audio or video?
DeepSeek-R1-Distill-Qwen-32B accepts text; DeepSeek V4 Pro accepts text. They handle the same number of input types.
Are any of these open source?
Yes, both publish their weights, so you can self-host them.
Which is newer?
DeepSeek V4 Pro is the newest, released Apr 24, 2026. DeepSeek-R1-Distill-Qwen-32B came out Jan 20, 2025. Knowledge cutoff: DeepSeek V4 Pro May 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.
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