DeepSeek-V3.1
deepinfra · chat model
DeepSeek-V3.1 is listed here as a chat model from deepinfra. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
Input
$0.2700 / 1M tokens
Output
$1.0000 / 1M tokens
Cached input
$0.2160 / 1M tokens
Context
163.8K
Quick read
Best for
Use this page when you need a fast view of cost, context size, and supported features before testing the model in your own workload.
Things to verify
Always check the provider page for discounts, cache pricing, region rules, and any model limits that may not appear in public metadata.
Pricing
| Item | Price |
|---|---|
| Input | $0.2700 / 1M tokens |
| Output | $1.0000 / 1M tokens |
| Cached input | $0.2160 / 1M tokens |
| Embedding | $0.2700 / 1M tokens |
Token limits
Context window
163.8K
Max input tokens
163.8K
Max output tokens
163.8K
Max tokens
163.8K
Capabilities
| Capability | Supported |
|---|---|
| Vision | — |
| Function calling | ✅ |
| Parallel function calling | — |
| Tool choice | ✅ |
| Prompt caching | — |
| Reasoning | ✅ |
| Response schema | — |
| System messages | — |
| Audio input | — |
| Audio output | — |
| Web search | — |
| PDF input | — |
| Video input | — |
Benchmarks
Most benchmark rows are attached to the base model family rather than this provider route. Open benchmark explorer
| Benchmark | Score | Metric | Scope | Checked | Source |
|---|---|---|---|---|---|
| MMLU | 88.5 | EM | Base model: DeepSeek-V3 (DeepSeek-V3) | 2026-05-31 | Link |
| GPQA Diamond | 59.1 | Pass@1 | Base model: DeepSeek-V3 (DeepSeek-V3) | 2026-05-31 | Link |
| LiveCodeBench | 37.6 | Pass@1 | Base model: DeepSeek-V3 (DeepSeek-V3) | 2026-05-31 | Link |
| AIME 2024 | 39.2 | Pass@1 | Base model: DeepSeek-V3 (DeepSeek-V3) | 2026-05-31 | Link |
| MATH-500 | 90.2 | EM | Base model: DeepSeek-V3 (DeepSeek-V3) | 2026-05-31 | Link |
| MMLU-Pro | 84.8 | EM | Base model: DeepSeek-V3.1 (DeepSeek-V3.1-Thinking) | 2026-05-31 | Link |
| GPQA Diamond | 80.1 | pass@1 | Base model: DeepSeek-V3.1 (DeepSeek-V3.1-Thinking) | 2026-05-31 | Link |
| Humanity's Last Exam | 15.9 | pass@1 | Base model: DeepSeek-V3.1 (DeepSeek-V3.1-Thinking) | 2026-05-31 | Link |
| LiveCodeBench | 74.8 | pass@1 | Base model: DeepSeek-V3.1 (DeepSeek-V3.1-Thinking) | 2026-05-31 | Link |
| Aider Polyglot | 76.3 | accuracy | Base model: DeepSeek-V3.1 (DeepSeek-V3.1-Thinking) | 2026-05-31 | Link |
| SWE-bench Verified (Agent mode) | 66.0 | resolved | Base model: DeepSeek-V3.1 (DeepSeek-V3.1-Thinking) | 2026-05-31 | Link |
| AIME 2025 | 88.4 | pass@1 | Base model: DeepSeek-V3.1 (DeepSeek-V3.1-Thinking) | 2026-05-31 | Link |
Sources
| Source links | |
| Pricing data | LiteLLM model cost map |
| Synced at | 2026-05-28 |
Docs
| Official docs |
Similar models
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Comparing from
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| DeepSeek-V3.1 deepinfra | In $0.2700 / 1M tokens Out $1.0000 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 163.8K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
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| qwen.qwen3-235b-a22b-2507-v1:0 bedrock_converse | In $0.2200 / 1M tokens Out $0.8800 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 131.1K | Text covered Overall 94% |
| DeepSeek-V3.1-Terminus deepinfra | In $0.2700 / 1M tokens Out $1.0000 / 1M tokens | text
Output: text | Function callingTool choice | 163.8K | Same provider Overall 92% |
| minimax-m2 OpenRouter | In $0.2550 / 1M tokens Out $1.0200 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 204.8K | Text covered Overall 90% |
| deepseek.v3.2 Bedrock | In $0.6200 / 1M tokens Out $1.8500 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 163.8K | Text covered Overall 90% |
| deepseek.v3.2 Bedrock | In $0.6200 / 1M tokens Out $1.8500 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 163.8K | Text covered Overall 90% |
| deepseek.v3.2 Bedrock | In $0.6200 / 1M tokens Out $1.8500 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 163.8K | Text covered Overall 90% |
| DeepSeek-V3-0324 deepinfra | In $0.2500 / 1M tokens Out $0.8800 / 1M tokens | text
Output: text | Function callingTool choice | 163.8K | Same provider Overall 90% |
| deepseek.v3.2 Bedrock | In $0.7400 / 1M tokens Out $2.2200 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 163.8K | Text covered Overall 88% |
| deepseek.v3.2 Bedrock | In $0.7400 / 1M tokens Out $2.2200 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 163.8K | Text covered Overall 88% |
| deepseek.v3.2 Bedrock | In $0.7400 / 1M tokens Out $2.2200 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 163.8K | Text covered Overall 88% |
| deepseek.v3.2 Bedrock | In $0.7400 / 1M tokens Out $2.2200 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 163.8K | Text covered Overall 88% |
| deepseek.v3.2 Bedrock | In $0.7400 / 1M tokens Out $2.2200 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 163.8K | Text covered Overall 88% |
| DeepSeek-V3 deepinfra | In $0.3800 / 1M tokens Out $0.8900 / 1M tokens | text
Output: text | Function callingTool choice | 163.8K | Same provider Overall 88% |
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Output: text | Function callingTool choiceReasoning | 262.1K | Text covered Overall 85% |
| qwen.qwen3-coder-480b-a35b-v1:0 bedrock_converse | In $0.2200 / 1M tokens Out $1.8000 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 65.5K | Text covered Overall 84% |
| Qwen3-Coder-480B-A35B-Instruct-Turbo deepinfra | In $0.2900 / 1M tokens Out $1.2000 / 1M tokens | text
Output: text | Function callingTool choice | 262.1K | Same provider Overall 84% |
| deepseek.v3-v1:0 bedrock_converse | In $0.5800 / 1M tokens Out $1.6800 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 81.9K | Text covered Overall 83% |
| Hermes-3-Llama-3.1-405B deepinfra | In $1.0000 / 1M tokens Out $1.0000 / 1M tokens | text
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Output: text | Function callingTool choice | 163.8K | Same provider Overall 82% |
| deepseek-v3.1-terminus novita | In $0.2700 / 1M tokens Out $1.0000 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 32.8K | Text covered Overall 76% |
| deepseek-v3.1 novita | In $0.2700 / 1M tokens Out $1.0000 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 32.8K | Text covered Overall 76% |
| Phi-4-reasoning azure_ai | In $0.1250 / 1M tokens Out $0.5000 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 4.1K | Text covered Overall 75% |
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Output: text | Low overlap | 16.4K | Text covered Overall 61% |
| qwen3-235b-a22b-instruct-2507-maas vertex_ai-qwen_models | In $0.2500 / 1M tokens Out $1.0000 / 1M tokens | text
Output: unknown | Function callingTool choice | 16.4K | Partial I/O overlap Overall 38% Missing text |
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