DeepSeek-V3.1
wandb · chat model
DeepSeek-V3.1 is listed here as a chat model from wandb. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
Input
$55000.0000 / 1M tokens
Output
$165000.0000 / 1M tokens
Cached input
N/A
Context
128.0K
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 | $55000.0000 / 1M tokens |
| Output | $165000.0000 / 1M tokens |
| Embedding | $55000.0000 / 1M tokens |
Token limits
Context window
128.0K
Max input tokens
128.0K
Max output tokens
128.0K
Max tokens
128.0K
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 |
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-V3.1 wandb | In $55000.0000 / 1M tokens Out $165000.0000 / 1M tokens |
Output: unknown | No public capabilities | 128.0K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| GLM-4.5 wandb | In $55000.0000 / 1M tokens Out $200000.0000 / 1M tokens |
Output: unknown | Low overlap | 131.1K | Same provider Overall 33% |
| Llama-3.3-70B-Instruct wandb | In $71000.0000 / 1M tokens Out $71000.0000 / 1M tokens |
Output: unknown | Low overlap | 128.0K | Same provider Overall 27% |
| DeepSeek-V3-0324 wandb | In $114000.0000 / 1M tokens Out $275000.0000 / 1M tokens |
Output: unknown | Low overlap | 161.0K | Same provider Overall 23% |
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| gpt-oss-120b wandb | In $15000.0000 / 1M tokens Out $60000.0000 / 1M tokens |
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| Llama-3.1-8B-Instruct wandb | In $22000.0000 / 1M tokens Out $22000.0000 / 1M tokens |
Output: unknown | Low overlap | 128.0K | Same provider Overall 20% |
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