deepseek-v3.1
replicate · chat model
deepseek-v3.1 is listed here as a chat model from replicate. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
Input
$0.6720 / 1M tokens
Output
$2.0160 / 1M tokens
Cached input
N/A
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 | $0.6720 / 1M tokens |
| Output | $2.0160 / 1M tokens |
| Embedding | $0.6720 / 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 replicate | In $0.6720 / 1M tokens Out $2.0160 / 1M tokens | text
Output: text | Function callingReasoningSystem messages | 163.8K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| deepseek.v3.2 Bedrock | In $0.6200 / 1M tokens Out $1.8500 / 1M tokens | text
Output: text | Function callingReasoning | 163.8K | Text covered Overall 86% |
| deepseek.v3.2 Bedrock | In $0.6200 / 1M tokens Out $1.8500 / 1M tokens | text
Output: text | Function callingReasoning | 163.8K | Text covered Overall 86% |
| deepseek.v3.2 Bedrock | In $0.6200 / 1M tokens Out $1.8500 / 1M tokens | text
Output: text | Function callingReasoning | 163.8K | Text covered Overall 86% |
| deepseek.v3.2 bedrock_converse | In $0.6200 / 1M tokens Out $1.8500 / 1M tokens | text
Output: text | Function callingReasoning | 163.8K | Text covered Overall 86% |
| deepseek.v3.2 Bedrock | In $0.7400 / 1M tokens Out $2.2200 / 1M tokens | text
Output: text | Function callingReasoning | 163.8K | Text covered Overall 86% |
| deepseek.v3.2 Bedrock | In $0.7400 / 1M tokens Out $2.2200 / 1M tokens | text
Output: text | Function callingReasoning | 163.8K | Text covered Overall 86% |
| zai.glm-5 Bedrock | In $1.0000 / 1M tokens Out $3.2000 / 1M tokens | text
Output: text | Function callingReasoningSystem messages | 128.0K | Text covered Overall 83% |
| zai.glm-5 Bedrock | In $1.0000 / 1M tokens Out $3.2000 / 1M tokens | text
Output: text | Function callingReasoningSystem messages | 128.0K | Text covered Overall 83% |
| minimax.minimax-m2.5 Bedrock | In $0.4700 / 1M tokens Out $1.8600 / 1M tokens | text
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Output: text | Function calling | 131.1K | Text covered Overall 76% |
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Output: text | Function calling | 262.1K | Text covered Overall 73% |
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Output: text | Function callingReasoningSystem messages | 8.2K | Text covered Overall 72% |
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Output: text | Function callingReasoningSystem messages | 8.2K | Text covered Overall 72% |
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Output: text | Function callingReasoningSystem messages | 8.2K | Text covered Overall 72% |
| minimax.minimax-m2.5 Bedrock | In $0.3600 / 1M tokens Out $1.4400 / 1M tokens | text
Output: text | Function callingReasoningSystem messages | 8.2K | Text covered Overall 72% |
| minimax.minimax-m2.5 Bedrock | In $0.3600 / 1M tokens Out $1.4400 / 1M tokens | text
Output: text | Function callingReasoningSystem messages | 8.2K | Text covered Overall 72% |
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Output: text | Function callingReasoningSystem messages | 8.2K | Text covered Overall 70% |
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Output: text | Function callingSystem messages | 8.2K | Same provider Overall 69% |
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Output: text | Function callingReasoningSystem messages | 8.2K | Text covered Overall 69% |
| o1-mini replicate | In $1.1000 / 1M tokens Out $4.4000 / 1M tokens | text
Output: text | ReasoningSystem messages | N/A | Same provider Overall 67% |
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Output: text | Function callingSystem messages | N/A | Same provider Overall 66% |
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Output: text | Function callingSystem messages | N/A | Same provider Overall 63% |
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Output: text | ReasoningSystem messages | 8.2K | Same provider Overall 61% |
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Output: text | Function callingSystem messages | N/A | Same provider Overall 60% |
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