deepseek-v3.2
OpenRouter · chat model
deepseek-v3.2 is listed here as a chat model from OpenRouter. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
Input
$0.2800 / 1M tokens
Output
$0.4000 / 1M tokens
Cached input
$0.0280 / 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 | $0.2800 / 1M tokens |
| Output | $0.4000 / 1M tokens |
| Cached input | $0.0280 / 1M tokens |
| Embedding | $0.2800 / 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 |
| Aider Polyglot | 74.2% | percent correct | Base model: DeepSeek V3.2-Exp (deepseek/deepseek-reasoner) | 2026-05-31 | Link |
| MMLU-Pro | 85.0 | EM | Base model: DeepSeek-V3.2-Exp (DeepSeek-V3.2-Exp) | 2026-05-31 | Link |
| GPQA Diamond | 79.9 | pass@1 | Base model: DeepSeek-V3.2-Exp (DeepSeek-V3.2-Exp) | 2026-05-31 | Link |
| LiveCodeBench | 74.1 | pass@1 | Base model: DeepSeek-V3.2-Exp (DeepSeek-V3.2-Exp) | 2026-05-31 | Link |
| AIME 2025 | 89.3 | pass@1 | Base model: DeepSeek-V3.2-Exp (DeepSeek-V3.2-Exp) | 2026-05-31 | Link |
| Aider Polyglot | 74.5 | accuracy | Base model: DeepSeek-V3.2-Exp (DeepSeek-V3.2-Exp) | 2026-05-31 | Link |
| SWE-bench Verified | 67.8 | resolved | Base model: DeepSeek-V3.2-Exp (DeepSeek-V3.2-Exp) | 2026-05-31 | Link |
| Terminal-Bench | 37.7 | score | Base model: DeepSeek-V3.2-Exp (DeepSeek-V3.2-Exp) | 2026-05-31 | Link |
| Diamond | 82.4 | score | Base model: DeepSeek-V3.2 (deepseek-ai/DeepSeek-V3.2) | 2026-05-31 | Link |
| Terminal-Bench 2.0 | 39.6 * | score | Base model: DeepSeek-V3.2 (deepseek-ai/DeepSeek-V3.2) | 2026-05-31 | Link |
| Apex Agents | 7 * | score | Base model: DeepSeek-V3.2 (deepseek-ai/DeepSeek-V3.2) | 2026-05-31 | Link |
| SWE-bench Pro | 15.56 | score | Base model: DeepSeek-V3.2 (deepseek-ai/DeepSeek-V3.2) | 2026-05-31 | Link |
| SWE-bench Verified | 70 * | resolved | Base model: DeepSeek-V3.2 (deepseek-ai/DeepSeek-V3.2) | 2026-05-31 | Link |
Sources
| Source links | |
| Pricing data | LiteLLM model cost map |
| Synced at | 2026-05-28 |
Docs
| Official docs |
Similar models
This list is ranked by overall similarity. Use filters to emphasize the lens that matters most for the replacement you are making.
Comparing from
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| deepseek-v3.2 OpenRouter | In $0.2800 / 1M tokens Out $0.4000 / 1M tokens | text
Output: text | Function callingTool choicePrompt cachingReasoning | 163.8K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| deepseek-chat-v3.1 OpenRouter | In $0.2000 / 1M tokens Out $0.8000 / 1M tokens | text
Output: text | Function callingTool choicePrompt cachingReasoning | 163.8K | Same provider Overall 92% |
| deepseek-v3.2-exp OpenRouter | In $0.2000 / 1M tokens Out $0.4000 / 1M tokens | text
Output: text | Function callingTool choicePrompt caching | 163.8K | Same provider Overall 91% |
| minimax-m2 OpenRouter | In $0.2550 / 1M tokens Out $1.0200 / 1M tokens | text
Output: text | Function callingTool choicePrompt cachingReasoning | 204.8K | Same provider Overall 90% |
| grok-3-mini xai | In $0.3000 / 1M tokens Out $0.5000 / 1M tokens | text
Output: text | Function callingTool choicePrompt cachingReasoning | 131.1K | Text covered Overall 89% |
| grok-3-mini-beta xai | In $0.3000 / 1M tokens Out $0.5000 / 1M tokens | text
Output: text | Function callingTool choicePrompt cachingReasoning | 131.1K | Text covered Overall 89% |
| grok-3-mini-latest xai | In $0.3000 / 1M tokens Out $0.5000 / 1M tokens | text
Output: text | Function callingTool choicePrompt cachingReasoning | 131.1K | Text covered Overall 89% |
| deepseek-v3.2 azure_ai | In $0.5800 / 1M tokens Out $1.6800 / 1M tokens | text
Output: text | Function callingTool choicePrompt cachingReasoning | 163.8K | Text covered Overall 87% |
| deepseek-v3.2-speciale azure_ai | In $0.5800 / 1M tokens Out $1.6800 / 1M tokens | text
Output: text | Function callingTool choicePrompt cachingReasoning | 163.8K | Text covered Overall 87% |
| glm-4.6 OpenRouter | In $0.4000 / 1M tokens Out $1.7500 / 1M tokens | text
Output: text | Function callingTool choicePrompt cachingReasoning | 131.0K | Same provider Overall 86% |
| grok-code-fast xai | In $0.2000 / 1M tokens Out $1.5000 / 1M tokens | text
Output: text | Function callingTool choicePrompt cachingReasoning | 256.0K | Text covered Overall 84% |
| grok-code-fast-1 xai | In $0.2000 / 1M tokens Out $1.5000 / 1M tokens | text
Output: text | Function callingTool choicePrompt cachingReasoning | 256.0K | Text covered Overall 84% |
| minimax-m2.5 OpenRouter | In $0.3000 / 1M tokens Out $1.1000 / 1M tokens | text
Output: text | Function callingTool choicePrompt cachingReasoning | 65.5K | Same provider Overall 83% |
| qwen3-235b-a22b-thinking-2507 OpenRouter | In $0.1100 / 1M tokens Out $0.6000 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 262.1K | Same provider Overall 79% |
| mimo-v2-flash OpenRouter | In $0.1000 / 1M tokens Out $0.3000 / 1M tokens | text
Output: text | Function callingTool choicePrompt cachingReasoning | 16.4K | Same provider Overall 78% |
| deepseek-v3.2 novita | In $0.2690 / 1M tokens Out $0.4000 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 65.5K | Text covered Overall 76% |
| deepseek-v3.2-exp novita | In $0.2700 / 1M tokens Out $0.4100 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 65.5K | Text covered Overall 76% |
| deepseek-r1-0528 OpenRouter | In $0.5000 / 1M tokens Out $2.1500 / 1M tokens | text
Output: text | Function callingTool choicePrompt cachingReasoning | 8.2K | Same provider Overall 73% |
| deepseek-r1 OpenRouter | In $0.5500 / 1M tokens Out $2.1900 / 1M tokens | text
Output: text | Function callingTool choicePrompt cachingReasoning | 8.2K | Same provider Overall 72% |
| deepseek-v3.2 DeepSeek | In $0.2800 / 1M tokens Out $0.4000 / 1M tokens | text
Output: unknown | Function callingTool choicePrompt cachingReasoning | 163.8K | Partial I/O overlap Overall 60% Missing text |
| amazon.titan-text-lite-v1 Bedrock | In $0.3000 / 1M tokens Out $0.4000 / 1M tokens | text
Output: text | Low overlap | 4.0K | Text covered Overall 60% |
| amazon.titan-text-lite-v1 Bedrock | In $0.3000 / 1M tokens Out $0.4000 / 1M tokens | text
Output: text | Low overlap | 4.0K | Text covered Overall 60% |
| DeepSeek-V3.2 gmi | In $0.2800 / 1M tokens Out $0.4000 / 1M tokens | text
Output: unknown | Function calling | 16.4K | Partial I/O overlap Overall 28% Missing text |
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