openai
DeepSeek V3.1 vs GPT-5.6 Luna
73.6 overall · $0.450 / 1M
// deepseek
DeepSeek V3.1
deepseek/deepseek-chat-v3.1
reasoningtool callingprompt caching
DeepSeek V3.1 costs $0.250 per 1M input tokens and $0.950 per 1M output tokens with a 164K-token context window.
A reasoning, tool-calling model from deepseek, released Aug 21, 2025. LiveBench hasn't published a run for it, so this page carries measured price and specs only — no benchmark numbers.
- Input / 1M
- $0.250
- Output / 1M
- $0.950
- Context
- 164K
- LiveBench overall
- Not evaluated
Specs and pricing
| Input price USD per 1M prompt tokens | $0.250 |
|---|---|
| Output price USD per 1M completion tokens, reasoning included | $0.950 |
| Blended price 3:1 input:output — #124 cheapest of 343 listed models | $0.425 |
| Cached input read Blank means not priced separately — not free | $0.130 |
| Cache write | — |
| Context window | 163,840 tokens |
| Max output | 32,768 tokens |
| Input modalities | text |
| Tool calling | Yes |
| Extended reasoning | Yes |
| Knowledge cutoff | 2025-03-31 |
| Listed | Aug 21, 2025 |
What DeepSeek V3.1 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 | $127.36/mo |
| RAG assistant 8K in / 600 out × 100K requests | $209.00/mo |
| Coding agent 40K in / 4K out × 20K requests | $208.80/mo |
| Document extraction 20K in / 1.5K out × 50K requests | $315.25/mo |
| Bulk classification 500 in / 20 out × 5M requests | $660.00/mo |
Compare DeepSeek V3.1 with
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DeepSeek V3.1 FAQ
How much does DeepSeek V3.1 cost?
DeepSeek V3.1 lists at $0.250 per 1M input tokens and $0.950 per 1M output tokens, with cached input reads at $0.130 per 1M. A RAG assistant handling 100K requests a month (8K tokens in, 600 out) comes to about $209.00 at list price.
What is the context window of DeepSeek V3.1?
DeepSeek V3.1 accepts up to 163,840 tokens of context and can return up to 32,768 output tokens per response.
Does DeepSeek V3.1 support tool calling?
Yes — DeepSeek V3.1 supports tool (function) calling and exposes extended reasoning. It accepts text input.
How does DeepSeek V3.1 score on benchmarks?
LiveBench has not published a run for DeepSeek V3.1 yet. Until it does, compare it on price and specs, or run your own evaluation on your own tasks.
What is the API model ID for DeepSeek V3.1?
On OpenRouter the model ID is "deepseek/deepseek-chat-v3.1". It was listed on Aug 21, 2025.
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.