AI model comparison
DeepSeek V3.2 vs GPT-5.1-Codex-Mini
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
DeepSeek
DeepSeek V3.2
DeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use performance.
- Input / 1M
- $0.26
- Output / 1M
- $0.80
- Context
- 164K
OpenAI
GPT-5.1-Codex-Mini
GPT-5.1-Codex-Mini is a smaller and faster version of GPT-5.1-Codex
- Input / 1M
- $0.25
- Output / 1M
- $2
- Context
- 400K
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
DeepSeek V3.2
1.6x cheaper for a typical chat
Higher intelligence score
DeepSeek V3.2
21.5 vs 20.4 on Artificial Analysis
Larger context window
GPT-5.1-Codex-Mini
400K vs 164K tokens
Newer release
DeepSeek V3.2
Released December 1, 2025
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
DeepSeek V3.221.5GPT-5.1-Codex-Mini20.4Coding index
DeepSeek V3.244.2GPT-5.1-Codex-MiniNot availableAgentic index
DeepSeek V3.2Not availableGPT-5.1-Codex-MiniNot availablePricing
DeepSeek V3.2 vs GPT-5.1-Codex-Mini API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | DeepSeek V3.2 | GPT-5.1-Codex-Mini |
|---|---|---|
| Input tokensPer 1M tokens | $0.26 | $0.25 |
| Output tokensPer 1M tokens | $0.80 | $2 |
| Cached input (read)Per 1M tokens | $0.14 | $0.03 |
| Cache writePer 1M tokens | Not available | Not available |
| Web searchPer request | Not available | $0.01 |
What it costs in practice
Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.
Chat message
2K in, 500 out
DeepSeek V3.2$0.92GPT-5.1-Codex-Mini$1.50Coding task
30K in, 4K out
DeepSeek V3.2$10.97$7.40 cachedGPT-5.1-Codex-Mini$15.50$8.90 cachedLong document summary
150K in, 2K out
DeepSeek V3.2$40.45$22.60 cachedGPT-5.1-Codex-Mini$41.50$8.50 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | DeepSeek V3.2 | GPT-5.1-Codex-Mini |
|---|---|---|
| Context window | 164K tokens | 400K tokens |
| Max output | 147K tokens | 128K tokens |
| Input types | Text | Image, Text |
| Output types | Text | Text |
| Reasoning effort levels | Not available | High, Medium, Low |
| Default reasoning effort | Not available | Medium |
| Release date | December 1, 2025 | November 13, 2025 |
Features
Supported features
API features available for each model.
| Metric | DeepSeek V3.2 | GPT-5.1-Codex-Mini |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Supported | Not supported |
| Stop sequences | Supported | Not supported |
| Deterministic seed | Supported | Supported |
| Verbosity control | Not supported | Supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
DeepSeek V3.2View full model details- DeepSeek V3.2 vs DeepSeek V4 Flash 0423
- DeepSeek V3.2 vs Hy3
- DeepSeek V3.2 vs Solar Mini 4
- DeepSeek V3.2 vs DeepSeek V4 Pro 0423
- DeepSeek V3.2 vs MiMo-V2.5
- DeepSeek V3.2 vs Gemini 3.5 Flash Lite
- DeepSeek V3.2 vs MiMo-V2.5-Pro
- DeepSeek V3.2 vs Qwen3.6 35B A3B
- DeepSeek V3.2 vs GPT-5 Mini
- DeepSeek V3.2 vs Ling 3.0 Flash
- DeepSeek V3.2 vs GPT-5.4 Nano
- DeepSeek V3.2 vs Step 3.7 Flash
- DeepSeek V3.2 vs Ling 3.0 Flash VL
- DeepSeek V3.2 vs MiniMax M2.7
- DeepSeek V3.2 vs MiniMax M2.5
- DeepSeek V3.2 vs Ling 3.0 Flash Fin
- DeepSeek V3.2 vs MiniMax M2.1
- DeepSeek V3.2 vs Qwen3.5-35B-A3B
- DeepSeek V3.2 vs LongCat 2.0
- DeepSeek V3.2 vs DeepSeek V3.2 Exp
- DeepSeek V3.2 vs DeepSeek V3.1 Terminus
GPT-5.1-Codex-MiniView full model details- GPT-5.1-Codex-Mini vs GPT-5.4 Mini
- GPT-5.1-Codex-Mini vs Gemini 3.5 Flash Lite
- GPT-5.1-Codex-Mini vs GLM 4.7
- GPT-5.1-Codex-Mini vs Qwen3.5 397B A17B
- GPT-5.1-Codex-Mini vs Qwen3.6 27B
- GPT-5.1-Codex-Mini vs GPT-5.4 Nano
- GPT-5.1-Codex-Mini vs GPT-5 Mini
- GPT-5.1-Codex-Mini vs o3
- GPT-5.1-Codex-Mini vs Step 3.7 Flash
- GPT-5.1-Codex-Mini vs GLM 4.6
Our take
DeepSeek V3.2 is 1.6x cheaper for a typical chat. DeepSeek V3.2 scores higher on the Artificial Analysis Intelligence Index (21.5 vs 20.4). GPT-5.1-Codex-Mini has the larger context window (400K vs 164K tokens). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.
FAQ
Frequently asked questions
Is DeepSeek V3.2 or GPT-5.1-Codex-Mini cheaper?
DeepSeek V3.2 is cheaper for a typical chat (2K input tokens and 500 output tokens). DeepSeek V3.2 costs $0.26 per 1M input tokens and $0.80 per 1M output tokens, while GPT-5.1-Codex-Mini costs $0.25 per 1M input tokens and $2 per 1M output tokens.
Which has a bigger context window, DeepSeek V3.2 or GPT-5.1-Codex-Mini?
GPT-5.1-Codex-Mini supports up to 400K tokens of context, compared with 164K for DeepSeek V3.2.
Is DeepSeek V3.2 smarter than GPT-5.1-Codex-Mini?
On the Artificial Analysis Intelligence Index, DeepSeek V3.2 scores 21.5 and GPT-5.1-Codex-Mini scores 20.4, putting DeepSeek V3.2 ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use DeepSeek V3.2 and GPT-5.1-Codex-Mini at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see DeepSeek V3.2 and GPT-5.1-Codex-Mini answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to DeepSeek V3.2 and GPT-5.1-Codex-Mini at the same time. Compare the answers side by side and keep the best one.