o4-mini-deep-research vs DeepSeek V4 Pro
Too close to call on our weighted score (DeepSeek V4 Pro 39, o4-mini-deep-research 37). The right pick depends on what you value most.
OpenAIo4-mini-deep-research
37/100- ECI—
- Price$1.80 / $7.20
- Context200K
DeepSeekDeepSeek V4 Pro
39/100- ECI—
- Price$1.60 / $3.30
- Context1M
Add a model
Make it a three-way comparison.
Too close to call
It is close. Our weighted score puts them within 3 points (DeepSeek V4 Pro 39/100, o4-mini-deep-research 37/100), so choose by what matters most for your work: DeepSeek V4 Pro on price and DeepSeek V4 Pro for long inputs. 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 priceDeepSeek V4 ProDeepSeek V4 Pro $2.03 · o4-mini-deep-research $3.15 per 1M tokens (3:1 blend)
- Longest contextDeepSeek V4 ProDeepSeek V4 Pro 1,000,000 · o4-mini-deep-research 200,000 tokens
- Widest inputso4-mini-deep-researcho4-mini-deep-research: Text, Images · DeepSeek V4 Pro: Text
- Self-hostingDeepSeek V4 ProPublishes downloadable weights
| Measure | Weight | o4-mini-deep-research | DeepSeek V4 Pro |
|---|---|---|---|
| Price | 50% | 25 | 34 |
| Inputs & features | 30% | 60 | 35 |
| Context window | 20% | 32 | 60 |
| Overall | 100% | 37/100 | 39/100 |
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 | o4-mini-deep-researchOpenAI | DeepSeek V4 ProDeepSeek |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $1.80 | $1.60 (best) |
| Output | $7.20 | $3.30 (best) |
| Cached input | — | — |
| Blended (3:1) | $3.15 | $2.03 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 1 providers | Median of 56 providers |
| Limits | ||
| Context window | 200,000 tokens | 1,000,000 tokens (best) |
| Max output | 100,000 tokens | 384,000 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Proprietary | Open |
| API model ID | — | — |
| API providers | 1 | 58 (best) |
| Released | Jun 26, 2025 | Apr 24, 2026 |
| Knowledge cutoff | May 2024 | 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.
- o4-mini-deep-research$32.40
- DeepSeek V4 Pro$22.60
Which should you choose?
Which is better: o4-mini-deep-research or DeepSeek V4 Pro?
It is close. Our weighted score puts them within 3 points (DeepSeek V4 Pro 39/100, o4-mini-deep-research 37/100), so choose by what matters most for your work: DeepSeek V4 Pro on price and DeepSeek V4 Pro for long inputs. 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, o4-mini-deep-research or DeepSeek V4 Pro?
DeepSeek V4 Pro is cheaper at $1.60 input / $3.30 output per million tokens (median across 56 API providers). o4-mini-deep-research costs $1.80 input / $7.20 output per million tokens (median across 1 API provider). At a typical mix of three input tokens to one output token, that is $2.03 per million tokens for DeepSeek V4 Pro versus $3.15 for o4-mini-deep-research (1.6× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. o4-mini-deep-research has not been scored yet and DeepSeek V4 Pro has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for o4-mini-deep-research and DeepSeek V4 Pro 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?
DeepSeek V4 Pro has the largest context window at 1,000,000 tokens, against 200,000 for o4-mini-deep-research. Maximum output per response: o4-mini-deep-research up to 100,000, DeepSeek V4 Pro up to 384,000 tokens.
Which can read images, PDFs, audio or video?
o4-mini-deep-research accepts text and images; DeepSeek V4 Pro accepts text. o4-mini-deep-research handles the widest range of inputs.
Are any of these open source?
DeepSeek V4 Pro publishes its weights and can be self-hosted; o4-mini-deep-research is proprietary.
Which is newer?
DeepSeek V4 Pro is the newest, released Apr 24, 2026. o4-mini-deep-research came out Jun 26, 2025. Knowledge cutoff: o4-mini-deep-research May 2024, 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 Nov 2, 2026.
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