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DeepSeek V4 Pro vs o3

DeepSeek V4 Pro (2026) and o3 (2025) are frontier-tier reasoning models from DeepSeek and OpenAI. DeepSeek V4 Pro ships a 1M-token context window, while o3 ships a 128K-token context window. On SWE-bench Verified, DeepSeek V4 Pro leads by 8.9 pts. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing.

DeepSeek V4 Pro fits 8x more tokens; pick it for long-context work and o3 for tighter calls.

Specs

Released2026-04-242025-03-31
Context window1M128K
Parameters1.6T
Architecturemixture of expertsdecoder only
LicenseMITUnknown
Knowledge cutoff--

Pricing and availability

DeepSeek V4 Proo3
Input price-$1/1M tokens
Output price-$4/1M tokens
Providers-

Capabilities

DeepSeek V4 Proo3
Vision
Multimodal
Reasoning
Function calling
Tool use
Structured outputs
Code execution

Benchmarks

BenchmarkDeepSeek V4 Proo3
SWE-bench Verified80.671.7
Google-Proof Q&A90.187.7

Deep dive

On shared benchmark coverage, SWE-bench Verified has DeepSeek V4 Pro at 80.6 and o3 at 71.7, with DeepSeek V4 Pro ahead by 8.9 points; Google-Proof Q&A has DeepSeek V4 Pro at 90.1 and o3 at 87.7, with DeepSeek V4 Pro ahead by 2.4 points. The largest visible gap is 8.9 points on SWE-bench Verified, which matters most when that benchmark mirrors your workload. Treat isolated benchmark wins as directional, because provider routing, prompt style, and tool access can move real application results.

The capability footprint differs most on function calling: DeepSeek V4 Pro, tool use: DeepSeek V4 Pro, and code execution: o3. Both models share reasoning mode and structured outputs, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.

Pricing coverage is uneven: DeepSeek V4 Pro has no token price sourced yet and o3 has $1/1M input tokens. Provider availability is 0 tracked routes versus 3. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose DeepSeek V4 Pro when long-context analysis and larger context windows are central to the workload. Choose o3 when coding workflow support and broader provider choice are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship.

FAQ

Which has a larger context window, DeepSeek V4 Pro or o3?

DeepSeek V4 Pro supports 1M tokens, while o3 supports 128K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Is DeepSeek V4 Pro or o3 open source?

DeepSeek V4 Pro is listed under MIT. o3 is listed under Unknown. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.

Which is better for reasoning mode, DeepSeek V4 Pro or o3?

Both DeepSeek V4 Pro and o3 expose reasoning mode. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.

Which is better for function calling, DeepSeek V4 Pro or o3?

DeepSeek V4 Pro has the clearer documented function calling signal in this comparison. If function calling is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Which is better for tool use, DeepSeek V4 Pro or o3?

DeepSeek V4 Pro has the clearer documented tool use signal in this comparison. If tool use is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Where can I run DeepSeek V4 Pro and o3?

DeepSeek V4 Pro is available on the tracked providers still being sourced. o3 is available on OpenAI API, OpenRouter, and OpenAI Batch API. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-04-24. Data sourced from public model cards and provider documentation.