openai
DeepSeek V4 Flash 0731 vs GPT-5.2-Codex
74.0 overall · $4.81 / 1M
// deepseek
DeepSeek V4 Flash 0731
deepseek/deepseek-v4-flash-0731
reasoningtool callingprompt caching
DeepSeek V4 Flash 0731 costs $0.040 per 1M input tokens and $0.640 per 1M output tokens with a 1.3M-token context window.
A reasoning, tool-calling model from deepseek, released Jul 31, 2026. On LiveBench it scores 74.2 overall — #32 of 55 benchmarked models — and ranks highest in data analysis (#10).
- Input / 1M
- $0.040
- Output / 1M
- $0.640
- Context
- 1.3M
- LiveBench overall
- 74.2 · #32
Specs and pricing
| Input price USD per 1M prompt tokens | $0.040 |
|---|---|
| Output price USD per 1M completion tokens, reasoning included | $0.640 |
| Blended price 3:1 input:output — #79 cheapest of 343 listed models | $0.190 |
| Cached input read Blank means not priced separately — not free | $0.016 |
| Cache write | — |
| Context window | 1,310,720 tokens |
| Max output | 943,718 tokens |
| Input modalities | text |
| Tool calling | Yes |
| Extended reasoning | Yes |
| Knowledge cutoff | — |
| Listed | Jul 31, 2026 |
Benchmarks by category
LiveBench scores out of 100, with DeepSeek V4 Flash 0731's rank among the 55 benchmarked models listed here. Run: deepseek-v4-flash-0731.
Language#30 of 55
79.2
$0.0023 measured per point
What DeepSeek V4 Flash 0731 costs to run
Monthly list cost across five workload shapes, using the published cached-input rate where there is one. A floor, not a quote — batch discounts and cache writes aren't included.
| Workload | Per month |
|---|---|
| Support chatbot 1.2K in / 400 out × 200K requests | $59.07/mo |
| RAG assistant 8K in / 600 out × 100K requests | $60.80/mo |
| Coding agent 40K in / 4K out × 20K requests | $69.76/mo |
| Document extraction 20K in / 1.5K out × 50K requests | $86.80/mo |
| Bulk classification 500 in / 20 out × 5M requests | $152.00/mo |
Compare DeepSeek V4 Flash 0731 with
The benchmarked models closest to it on overall score.
anthropic
DeepSeek V4 Flash 0731 vs Claude Opus 4.6
74.5 overall · $10.00 / 1M
openai
DeepSeek V4 Flash 0731 vs GPT-5.2
74.6 overall · $4.81 / 1M
DeepSeek V4 Flash 0731 vs Gemini 3.5 Flash
74.6 overall · $3.38 / 1M
DeepSeek V4 Flash 0731 vs Gemini 3.6 Flash
73.6 overall · $1.50 / 1M
openai
DeepSeek V4 Flash 0731 vs GPT-5.6 Luna
73.6 overall · $0.450 / 1M
DeepSeek V4 Flash 0731 FAQ
How much does DeepSeek V4 Flash 0731 cost?
DeepSeek V4 Flash 0731 lists at $0.040 per 1M input tokens and $0.640 per 1M output tokens, with cached input reads at $0.016 per 1M. A RAG assistant handling 100K requests a month (8K tokens in, 600 out) comes to about $60.80 at list price.
What is the context window of DeepSeek V4 Flash 0731?
DeepSeek V4 Flash 0731 accepts up to 1,310,720 tokens of context and can return up to 943,718 output tokens per response.
Does DeepSeek V4 Flash 0731 support tool calling?
Yes — DeepSeek V4 Flash 0731 supports tool (function) calling and exposes extended reasoning. It accepts text input.
How does DeepSeek V4 Flash 0731 score on benchmarks?
On LiveBench release 2026-06-25 (run: deepseek-v4-flash-0731), DeepSeek V4 Flash 0731 scores 74.2 overall, ranking #32 of 55 benchmarked models.
What is the API model ID for DeepSeek V4 Flash 0731?
On OpenRouter the model ID is "deepseek/deepseek-v4-flash-0731". It was listed on Jul 31, 2026.
More from deepseek
How these numbers are produced
- Price and specs — provider list data from OpenRouter, refreshed every 15 minutes. “Blended” is a 3:1 input:output mix.
- Scores and ranks — LiveBench release 2026-06-25. Ranks count only models that have a published run; a blank means “not evaluated”, never “bad”.
- Cost per point — the measured dollars LiveBench spent on the run, divided by the score it earned.
Published benchmarks rank models on someone else's tasks. Before committing, see LLM & agent evaluation for building an eval on your own.