DeepSeek V3.1
by DeepSeekdeepseek/deepseek-chat-v3.1
LLMCompare cannot run DeepSeek V3.1 yet.No route to this model is configured on this site yet. Its prices and parameters are listed below for reference.
See the models that can be run nowDeepSeek V3.1 at a glance
- Context length
- 163,840 tokens
- Maximum output
- 32,768 tokens
- Accepts
- Text
- Returns
- Text
- Features
- JSON outputTool callingPrompt caching
- Reasoning effort levels
- Not supported
- Released
- 21 Aug 2025
- Knowledge cutoff
- 31 March 2025
Model facts synced from the OpenRouter model list on 21 Oct 2026.
DeepSeek V3.1 pricing by route
A route is the service LLMCompare calls to reach the model. DeepSeek V3.1 has 1 route. Prices are in US dollars.
| Route | On LLMCompare | Inputper 1M tokens | Outputper 1M tokens | Cache readper 1M tokens | Price verified on | Source |
|---|---|---|---|---|---|---|
| OpenRouterDefault | Not configured | $0.25 | $0.95 | $0.13 | openrouter.ai/deepseek/deepseek-chat-v3.1 |
The cost shown in an LLMCompare report is calculated from these prices as they were at the time of the run.
Cost calculator
Estimate what a batch of calls to DeepSeek V3.1 costs. The starting numbers are examples. Change them to match your task.
Part of the input tokens above, billed at the cache read price.
- Cost per call
- $0.00073
- 1 credits
- Cost of 100 calls
- $0.0725
- 100 credits
Calculated from the OpenRouter prices verified on 21 Oct 2026. Credits are the cost plus a 20% service fee, at $0.001 per credit, rounded up for each call, with a minimum of 1 per call. A real run is charged for the usage the provider reports.
Parameters you can set
These are the parameters LLMCompare can set when it calls the model through OpenRouter.
| Parameter | Type | Range or options | Default |
|---|---|---|---|
temperature | Number | 0 to 2in steps of 0.1 | Provider default |
top_p | Number | 0 to 1in steps of 0.05 | Provider default |
max_tokens | Integer | 1 to 32,768 | Provider default |
seed | Integer | -2,147,483,648 to 4,294,967,295 | Provider default |
response_format | One of | textjson_object | Provider default |
About DeepSeek V3.1
DeepSeek-V3.1 is a large hybrid reasoning model (671B parameters, 37B active) that supports both thinking and non-thinking modes via prompt templates. It extends the DeepSeek-V3 base with a two-phase long-context...
Description as published for this model. LLMCompare has not edited it.
Models to compare with DeepSeek V3.1
Text models from the same provider and models at the nearest price. The order is not a ranking.
| Add to comparison | Model | Context | Max output | Input priceper 1M tokens | Output priceper 1M tokens | Features | Released | On LLMCompare |
|---|---|---|---|---|---|---|---|---|
DeepSeek V4 Pro 0423DeepSeekdeepseek/deepseek-v4-pro | 1.05M | 384k | $0.4225 | $0.8449 | ReasoningJSONToolsCache | No route yet | ||
DeepSeek V3.1 TerminusDeepSeekdeepseek/deepseek-v3.1-terminus | 164k | 147k | $0.27 | $1.00 | JSONTools | No route yet | ||
DeepSeek V3DeepSeekdeepseek/deepseek-chat | 164k | 16k | $0.2574 | $1.03 | JSONTools | No route yet | ||
GLM 4.6VZ.aiz-ai/glm-4.6v | 131k | 32.8k | $0.30 | $0.90 | JSONToolsCacheVision | No route yet | ||
Codestral 2508Mistralmistralai/codestral-2508 | 256k | 205k | $0.30 | $0.90 | JSONToolsCache | No route yet | ||
Qwen3 Next 80B A3B InstructQwenqwen/qwen3-next-80b-a3b-instruct | 262k | 16.4k | $0.09 | $1.10 | JSONTools | No route yet |
Questions about DeepSeek V3.1
- How much does DeepSeek V3.1 cost?
- On the OpenRouter route, DeepSeek V3.1 costs $0.25 per 1 million input tokens and $0.95 per 1 million output tokens, in US dollars. Input tokens that DeepSeek V3.1 reads from the prompt cache cost $0.13 per 1 million tokens. LLMCompare verified this price on 21 Oct 2026.
- What is the context length of DeepSeek V3.1?
- DeepSeek V3.1 has a context length of 163,840 tokens and returns up to 32,768 output tokens in one call.
- What inputs does DeepSeek V3.1 accept?
- DeepSeek V3.1 accepts these inputs: Text. DeepSeek V3.1 returns: Text.
- Can I test DeepSeek V3.1 on my own data?
- Not yet. LLMCompare lists the prices and parameters of DeepSeek V3.1, but no route to DeepSeek V3.1 is configured on LLMCompare, so it cannot be selected for an evaluation.