DeepSeek V4 Pro vs GPT-5.2 Codex
DeepSeek V4 Pro (2026) and GPT-5.2 Codex (2025) compare a standalone API model against a coding-specialized model. DeepSeek V4 Pro ships a 1m-token context window, while GPT-5.2 Codex ships a 400k-token context window. On SWE-bench Verified, DeepSeek V4 Pro leads by 7.8 pts. On pricing, DeepSeek V4 Pro costs $0.43/1M input tokens versus $1.75/1M for the alternative. This page treats the result as workflow and deployment fit, not a universal model winner.
Treat this as a product-type comparison: DeepSeek V4 Pro is standalone API model, while GPT-5.2 Codex is coding-specialized model. Choose based on workflow fit before reading any benchmark or price row as decisive.
Decision scorecard
Local evidence first| Signal | DeepSeek V4 Pro | GPT-5.2 Codex |
|---|---|---|
| Product type | Standalone API model | Coding-specialized model |
| Best for | reasoning-heavy apps, tool-calling agents, and long-context analysis | custom coding agents, code generation, and tool loops |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Agents |
| Context window | 1m | 400k |
| Cheapest output | $0.87/1M tokens | $14/1M tokens |
| Provider routes | 5 tracked | 2 tracked |
| Shared benchmarks | SWE-bench Verified leader | 3 shared |
Decision tradeoffs
- DeepSeek V4 Pro holds a shared-benchmark lead on SWE-bench Verified, ahead by 7.8 points.
- DeepSeek V4 Pro has the larger context window for long prompts, retrieval packs, or transcript analysis.
- DeepSeek V4 Pro has the lower cheapest tracked output price at $0.87/1M tokens.
- DeepSeek V4 Pro has broader tracked provider coverage for fallback and route flexibility.
- Local decision data tags DeepSeek V4 Pro for Coding, RAG, and Agents.
- GPT-5.2 Codex holds a shared-benchmark lead on SWE-bench Pro, ahead by 1 points.
- GPT-5.2 Codex uniquely exposes Vision, Multimodal, and Code execution in local model data.
- Local decision data tags GPT-5.2 Codex for Coding, RAG, and Agents.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
DeepSeek V4 Pro
$566
Cheapest tracked route/tier: DeepSeek Platform
GPT-5.2 Codex
$4,900
Cheapest tracked route/tier: Vercel AI Gateway
Estimated monthly gap: $4,335. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on Vercel AI Gateway; start route-level A/B tests there.
- GPT-5.2 Codex is $13.13/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- GPT-5.2 Codex adds Vision, Multimodal, and Code execution in local capability data.
- Provider overlap exists on Vercel AI Gateway; start route-level A/B tests there.
- DeepSeek V4 Pro is $13.13/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Vision, Multimodal, and Code execution before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-04-24 | 2025-12-18 |
| Context window | 1m | 400k |
| Parameters | 1.6T | — |
| Architecture | Mixture of Experts | Decoder Only |
| License | MITOSI-approved | Proprietary |
| Openness | Open source | Proprietary |
| Weights | Available | Not released |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: permitted | Commercial use: conditional |
| Knowledge cutoff | - | 2025-08 |
Pricing and availability
| Pricing attribute | DeepSeek V4 Pro | GPT-5.2 Codex |
|---|---|---|
| Input price | $0.43/1M tokens | $1.75/1M tokens |
| Output price | $0.87/1M tokens | $14/1M tokens |
| Providers |
Capabilities
| Capability | DeepSeek V4 Pro | GPT-5.2 Codex |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| Reasoning | Yes | Yes |
| JSON / Tool use | Yes | Yes |
| Structured outputs | Yes | Yes |
| Code execution | No | Yes |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | DeepSeek V4 Pro | GPT-5.2 Codex |
|---|---|---|
| SWE-bench Verified | 80.6 | 72.8 |
| SWE-bench Pro | 55.4 | 56.4 |
| Terminal-Bench 2.0 | 59.1 | 64.0 |
Continue comparing
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Last reviewed: 2026-06-30. Data sourced from public model cards and provider documentation.