DeepSeek-V3.2
gmi · chat model
DeepSeek-V3.2 is listed here as a chat model from gmi. 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
N/A
Context
16.4K
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 |
| Embedding | $0.2800 / 1M tokens |
Token limits
Context window
16.4K
Max input tokens
163.8K
Max output tokens
16.4K
Max tokens
16.4K
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 |
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Comparing from
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|---|---|---|---|---|---|
| DeepSeek-V3.2 gmi | In $0.2800 / 1M tokens Out $0.4000 / 1M tokens |
Output: unknown | Function calling | 16.4K | Current model Reference row |
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|---|---|---|---|---|---|
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