DeepSeek V4 Pro vs GPT-5.2 Pro
Benchmark Performance
Available Benchmarks
Technical Differences
Side-by-Side Facts
| Field | DeepSeek-V4-Pro | GPT-5.2 Pro |
|---|---|---|
| Developer | DeepSeek | OpenAI |
| Family | Deepseek V4 Pro | Gpt 5 2 |
| Model | DeepSeek-V4-Pro | GPT-5.2 Pro |
| Version | DeepSeek-V4-Pro | GPT-5.2 Pro |
| Lifecycle | active | active |
| Released | 2026-04-24 | 2025-12-11 |
| Knowledge cutoff | Unknown | 2025-08-31 |
| Input modalities | Text | Text, Image |
| Output modalities | Text | Text |
| Context window | 1,049K | 400K |
| Total parameters | 1.6T | Unknown |
| Active parameters | 49B | Unknown |
| License | mit | Unknown |
| Open weights | Yes | No |
| API available | Yes | Yes |
| Self-hostable | Yes | No |
| Provider access | DeepSeek (Standard), Deepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) | Openai (Standard), Openrouter (Standard) |
| Capabilities | chat, generation, reasoning | chat, generation, reasoning, structured_outputs, tools |
14 comparable fields · 11 material differences · Pair passes the primary-source comparison gate
DeepSeek V4 Pro Capabilities
GPT-5.2 Pro Capabilities
Internal Comparison Graph
Related Comparisons
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|---|---|---|---|
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DeepSeek-V4-ProDeepSeek | vs |  Qwen3.8-MaxQwen | cross-developer peerstext |
DeepSeek-V4-ProDeepSeek | vs |  Kimi-K3Moonshot AI | cross-developer peerstext |
 MiniMax-M3MiniMax | vs | DeepSeek-V4-ProDeepSeek | cross-developer peerstext |
DeepSeek-V4-ProDeepSeek | vs |  GLM-5.3Z.ai | cross-developer peerstext |
DeepSeek-V4-ProDeepSeek | vs |  Hy4 previewTencent | cross-developer peerstext |
Seed 2.1 ProByteDance Seed | vs | DeepSeek-V4-ProDeepSeek | cross-developer peerstext |
DeepSeek-V4-ProDeepSeek | vs |  Mistral Large 3Mistral AI | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
DeepSeek V4 Pro vs GPT-5.2 Pro FAQs
Is DeepSeek V4 Pro or GPT-5.2 Pro better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V4 Pro and GPT-5.2 Pro, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, DeepSeek V4 Pro or GPT-5.2 Pro?+
DeepSeek V4 Pro is $0.66 and GPT-5.2 Pro is $21.00 per million tokens, so DeepSeek V4 Pro is cheaper on this metric. DeepSeek V4 Pro is $1.5441 and GPT-5.2 Pro is $168.00 per million tokens, so DeepSeek V4 Pro is cheaper on this metric.
Which has a larger context window, DeepSeek V4 Pro or GPT-5.2 Pro?+
DeepSeek V4 Pro has the larger sourced context window. DeepSeek V4 Pro supports 1,049K and GPT-5.2 Pro supports 400K.
Which performs better in benchmarks, DeepSeek V4 Pro or GPT-5.2 Pro?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can DeepSeek V4 Pro or GPT-5.2 Pro be self-hosted?+
DeepSeek V4 Pro is the only model in this pair currently marked as self-hostable. DeepSeek V4 Pro is open weight; GPT-5.2 Pro is not marked open weight.
Can DeepSeek V4 Pro and GPT-5.2 Pro understand images?+
DeepSeek V4 Pro is not documented with image input; GPT-5.2 Pro is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, DeepSeek V4 Pro or GPT-5.2 Pro?+
Neither has a larger sourced maximum output. DeepSeek V4 Pro is — and GPT-5.2 Pro is 128K.
Do DeepSeek V4 Pro and GPT-5.2 Pro support reasoning and tool use?+
DeepSeek V4 Pro: reasoning. GPT-5.2 Pro: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, DeepSeek V4 Pro or GPT-5.2 Pro?+
DeepSeek V4 Pro has 6 sourced provider routes; GPT-5.2 Pro has 2, so DeepSeek V4 Pro has broader tracked availability.
Which offers better value, DeepSeek V4 Pro or GPT-5.2 Pro?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.