AI model comparison
DeepSeek V4 Flash 0423 vs GPT-5.1-Codex
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
DeepSeek
DeepSeek V4 Flash 0423
DeepSeek V4 Flash is an efficiency-optimized Mixture-of-Experts model from DeepSeek with 284B total parameters and 13B activated parameters, supporting a 1M-token context window.
- Input / 1M
- $0.01
- Output / 1M
- $1.28
- Context
- 1.05M
OpenAI
GPT-5.1-Codex
GPT-5.1-Codex is a specialized version of GPT-5.1 optimized for software engineering and coding workflows.
- Input / 1M
- $1.25
- Output / 1M
- $10
- Context
- 400K
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
DeepSeek V4 Flash 0423
11.4x cheaper for a typical chat
Higher intelligence score
DeepSeek V4 Flash 0423
24.4 vs 23.7 on Artificial Analysis
Larger context window
DeepSeek V4 Flash 0423
1.05M vs 400K tokens
Newer release
DeepSeek V4 Flash 0423
Released April 24, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
DeepSeek V4 Flash 042324.4GPT-5.1-Codex23.7Coding index
DeepSeek V4 Flash 042352GPT-5.1-CodexNot availableAgentic index
DeepSeek V4 Flash 042326.3GPT-5.1-CodexNot availablePricing
DeepSeek V4 Flash 0423 vs GPT-5.1-Codex API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | DeepSeek V4 Flash 0423 | GPT-5.1-Codex |
|---|---|---|
| Input tokensPer 1M tokens | $0.01 | $1.25 |
| Output tokensPer 1M tokens | $1.28 | $10 |
| Cached input (read)Per 1M tokens | $0.01 | $0.13 |
| 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 V4 Flash 0423$0.66GPT-5.1-Codex$7.50Coding task
30K in, 4K out
DeepSeek V4 Flash 0423$5.42$5.42 cachedGPT-5.1-Codex$77.50$43.90 cachedLong document summary
150K in, 2K out
DeepSeek V4 Flash 0423$4.05$4.05 cachedGPT-5.1-Codex$207.50$39.50 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | DeepSeek V4 Flash 0423 | GPT-5.1-Codex |
|---|---|---|
| Context window | 1.05M tokens | 400K tokens |
| Max output | 944K tokens | 128K tokens |
| Input types | Text | Image, Text |
| Output types | Text | Text |
| Reasoning effort levels | Extra high, High | High, Medium, Low |
| Default reasoning effort | High | Medium |
| Release date | April 24, 2026 | November 13, 2025 |
Features
Supported features
API features available for each model.
| Metric | DeepSeek V4 Flash 0423 | GPT-5.1-Codex |
|---|---|---|
| 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 V4 Flash 0423View full model details- DeepSeek V4 Flash 0423 vs DeepSeek V4.1 Flash
- DeepSeek V4 Flash 0423 vs GLM 5.3 Flash
- DeepSeek V4 Flash 0423 vs MiMo-V2.6-Flash
- DeepSeek V4 Flash 0423 vs Hy4 preview
- DeepSeek V4 Flash 0423 vs GPT-6 Luna
- DeepSeek V4 Flash 0423 vs DeepSeek V4 Flash 0731
- DeepSeek V4 Flash 0423 vs Claude Opus 5.5
- DeepSeek V4 Flash 0423 vs GLM 5.3
- DeepSeek V4 Flash 0423 vs Step 5 Preview
- DeepSeek V4 Flash 0423 vs Gemini 3.8 Flash
- DeepSeek V4 Flash 0423 vs Hy3
- DeepSeek V4 Flash 0423 vs MiniMax M3
- DeepSeek V4 Flash 0423 vs Gemini 3 Flash Preview
- DeepSeek V4 Flash 0423 vs Solar Mini 4
- DeepSeek V4 Flash 0423 vs MiMo-V2.5
- DeepSeek V4 Flash 0423 vs DeepSeek V4 Pro 0423
- DeepSeek V4 Flash 0423 vs Solar Pro 4
- DeepSeek V4 Flash 0423 vs DeepSeek V3.2
- DeepSeek V4 Flash 0423 vs Gemini 3.5 Flash Lite
- DeepSeek V4 Flash 0423 vs GLM 5.3 FlashX
- DeepSeek V4 Flash 0423 vs Step 3.7 Flash
- DeepSeek V4 Flash 0423 vs MiMo-V2.5-Pro
- DeepSeek V4 Flash 0423 vs Kimi K2.6
- DeepSeek V4 Flash 0423 vs GPT-5.4 Mini
- DeepSeek V4 Flash 0423 vs GPT-5 Mini
- DeepSeek V4 Flash 0423 vs GPT-5.6 Luna Pro
- DeepSeek V4 Flash 0423 vs GPT-5.4 Nano
- DeepSeek V4 Flash 0423 vs Qwen3.7 Plus
- DeepSeek V4 Flash 0423 vs Qwen3.6 35B A3B
- DeepSeek V4 Flash 0423 vs MiniMax M2.7
- DeepSeek V4 Flash 0423 vs GLM 4.7
- DeepSeek V4 Flash 0423 vs Ling 3.0 Flash VL
- DeepSeek V4 Flash 0423 vs GLM 5
- DeepSeek V4 Flash 0423 vs Kimi K2.7 Code
- DeepSeek V4 Flash 0423 vs Qwen3.5 397B A17B
- DeepSeek V4 Flash 0423 vs Kimi K2.5
- DeepSeek V4 Flash 0423 vs Grok 4.3
- DeepSeek V4 Flash 0423 vs Grok Build 0.1
- DeepSeek V4 Flash 0423 vs Muse Glimmer 30B
- DeepSeek V4 Flash 0423 vs Qwen3.6 Plus
- DeepSeek V4 Flash 0423 vs GLM 5 Turbo
- DeepSeek V4 Flash 0423 vs GLM 5.1
- DeepSeek V4 Flash 0423 vs Nemotron 3 Ultra
- DeepSeek V4 Flash 0423 vs Grok 4.20
- DeepSeek V4 Flash 0423 vs Inkling Small
- DeepSeek V4 Flash 0423 vs GPT-5.1
- DeepSeek V4 Flash 0423 vs Inkling
- DeepSeek V4 Flash 0423 vs GLM 4.6
- DeepSeek V4 Flash 0423 vs GLM 5V Turbo
- DeepSeek V4 Flash 0423 vs GPT-5
- DeepSeek V4 Flash 0423 vs Qwen3.5-27B
- DeepSeek V4 Flash 0423 vs MiniMax M2.5
- DeepSeek V4 Flash 0423 vs Ling 3.0 Flash Fin
- DeepSeek V4 Flash 0423 vs Qwen3.5-35B-A3B
- DeepSeek V4 Flash 0423 vs Kimi K2 Thinking
- DeepSeek V4 Flash 0423 vs Qwen3.6 27B
- DeepSeek V4 Flash 0423 vs MiniMax M2.1
- DeepSeek V4 Flash 0423 vs GPT-5.1-Codex-Mini
- DeepSeek V4 Flash 0423 vs LongCat 2.0
- DeepSeek V4 Flash 0423 vs MiniMax M2
- DeepSeek V4 Flash 0423 vs DeepSeek V3.1 Terminus
GPT-5.1-CodexView full model details- GPT-5.1-Codex vs GPT-5.2
- GPT-5.1-Codex vs GPT-5.2-Codex
- GPT-5.1-Codex vs Gemini 3 Flash Preview
- GPT-5.1-Codex vs GPT-5.1
- GPT-5.1-Codex vs GPT-5.4 Mini
- GPT-5.1-Codex vs GPT-5
- GPT-5.1-Codex vs Claude Opus 4.1
- GPT-5.1-Codex vs o3 Pro
- GPT-5.1-Codex vs Claude Sonnet 4.5
- GPT-5.1-Codex vs GPT-5 Mini
- GPT-5.1-Codex vs o3
- GPT-5.1-Codex vs Claude Sonnet 4
Our take
DeepSeek V4 Flash 0423 is 11.4x cheaper for a typical chat. DeepSeek V4 Flash 0423 scores higher on the Artificial Analysis Intelligence Index (24.4 vs 23.7). DeepSeek V4 Flash 0423 has the larger context window (1.05M vs 400K 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 V4 Flash 0423 or GPT-5.1-Codex cheaper?
DeepSeek V4 Flash 0423 is cheaper for a typical chat (2K input tokens and 500 output tokens). DeepSeek V4 Flash 0423 costs $0.01 per 1M input tokens and $1.28 per 1M output tokens, while GPT-5.1-Codex costs $1.25 per 1M input tokens and $10 per 1M output tokens.
Which has a bigger context window, DeepSeek V4 Flash 0423 or GPT-5.1-Codex?
DeepSeek V4 Flash 0423 supports up to 1.05M tokens of context, compared with 400K for GPT-5.1-Codex.
Is DeepSeek V4 Flash 0423 smarter than GPT-5.1-Codex?
On the Artificial Analysis Intelligence Index, DeepSeek V4 Flash 0423 scores 24.4 and GPT-5.1-Codex scores 23.7, putting DeepSeek V4 Flash 0423 ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use DeepSeek V4 Flash 0423 and GPT-5.1-Codex at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see DeepSeek V4 Flash 0423 and GPT-5.1-Codex answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to DeepSeek V4 Flash 0423 and GPT-5.1-Codex at the same time. Compare the answers side by side and keep the best one.