DeepSeek-V4-Flash-Vision-Exp vs GPT-5.2 Codex
Comparing DeepSeek-V4-Flash-Vision-Exp and GPT-5.2 Codex across benchmarks, pricing, and capabilities.
DeepSeek · OpenAI · Updated for 2026
Which is better?
DeepSeek-V4-Flash-Vision-Exp and GPT-5.2 Codex trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
On price, DeepSeek-V4-Flash-Vision-Exp is roughly 14.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
DeepSeek-V4-Flash-Vision-Exp also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Based on current benchmark, pricing, and model metadata for 2026.
Choose DeepSeek-V4-Flash-Vision-Exp
- cost matters — it's about 14.6x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Aug 2026
Choose GPT-5.2 Codex
- you want predictable pricing at $1.75/M input and $14.00/M output
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V4-Flash-Vision-Exp and GPT-5.2 Codexdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V4-Flash-Vision-Exp ($0.22/1M tokens) is 8.0x cheaper than GPT-5.2 Codex ($1.75/1M tokens).
For output processing, DeepSeek-V4-Flash-Vision-Exp ($0.66/1M tokens) is 21.2x cheaper than GPT-5.2 Codex ($14.00/1M tokens).
In conclusion, GPT-5.2 Codex is more expensive than DeepSeek-V4-Flash-Vision-Exp.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
DeepSeek-V4-Flash-Vision-Exp accepts 1,048,576 input tokens compared to GPT-5.2 Codex's 400,000 tokens. DeepSeek-V4-Flash-Vision-Exp can generate longer responses up to 393,216 tokens, while GPT-5.2 Codex is limited to 128,000 tokens.
Input Capabilities
Supported data types and modalities
Both DeepSeek-V4-Flash-Vision-Exp and GPT-5.2 Codex support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
DeepSeek-V4-Flash-Vision-Exp
GPT-5.2 Codex
Release Timeline
When each model was launched
DeepSeek-V4-Flash-Vision-Exp was released on 2026-08-21, while GPT-5.2 Codex was released on 2026-01-14.
DeepSeek-V4-Flash-Vision-Exp is 7 months newer than GPT-5.2 Codex.
Aug 21, 2026
3 days ago
7mo newerJan 14, 2026
7 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
DeepSeek-V4-Flash-Vision-Exp is available from DeepSeek. GPT-5.2 Codex is available from OpenAI.
DeepSeek-V4-Flash-Vision-Exp
GPT-5.2 Codex
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4-Flash-Vision-Exp and GPT-5.2 Codex side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4-Flash-Vision-Exp vs GPT-5.2 Codex.