deepseek-v3
vercel_ai_gateway · chat model
deepseek-v3 is listed here as a chat model from vercel_ai_gateway. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
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 | $0.9000 / 1M tokens |
| Output | $0.9000 / 1M tokens |
| Embedding | $0.9000 / 1M tokens |
Token limits
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 |
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.
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| deepseek-v3 vercel_ai_gateway | In $0.9000 / 1M tokens Out $0.9000 / 1M tokens | text
Output: text | Tool choice | 8.2K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| mistral.mixtral-8x7b-instruct-v0:1 Bedrock | In $0.5900 / 1M tokens Out $0.9100 / 1M tokens | text
Output: text | Tool choice | 8.2K | Text covered Overall 97% |
| llama-3.1-70b vercel_ai_gateway | In $0.7200 / 1M tokens Out $0.7200 / 1M tokens | text
Output: text | Tool choice | 8.2K | Same provider Overall 96% |
| llama-3-70b vercel_ai_gateway | In $0.5900 / 1M tokens Out $0.7900 / 1M tokens | text
Output: text | Tool choice | 8.2K | Same provider Overall 96% |
| llama-3-70b-instruct OpenRouter | In $0.5900 / 1M tokens Out $0.7900 / 1M tokens | text
Output: text | Tool choice | 8.0K | Text covered Overall 95% |
| mistral.mixtral-8x7b-instruct-v0:1 Bedrock | In $0.4500 / 1M tokens Out $0.7000 / 1M tokens | text
Output: text | Tool choice | 8.2K | Text covered Overall 93% |
| mistral.mixtral-8x7b-instruct-v0:1 Bedrock | In $0.4500 / 1M tokens Out $0.7000 / 1M tokens | text
Output: text | Tool choice | 8.2K | Text covered Overall 93% |
| anthropic.claude-instant-v1 Bedrock | In $0.8000 / 1M tokens Out $2.4000 / 1M tokens | text
Output: text | Tool choice | 8.2K | Text covered Overall 92% |
| deepseek-r1 vercel_ai_gateway | In $0.5500 / 1M tokens Out $2.1900 / 1M tokens | text
Output: text | Tool choice | 8.2K | Same provider Overall 90% |
| jamba-instruct azure_ai | In $0.5000 / 1M tokens Out $0.7000 / 1M tokens | text
Output: text | Tool choice | 4.1K | Text covered Overall 86% |
| llama-3.3-70b vercel_ai_gateway | In $0.7200 / 1M tokens Out $0.7200 / 1M tokens | text
Output: text | Tool choice | 8.2K | Same provider Overall 84% |
| firefunction-v2 fireworks_ai | In $0.9000 / 1M tokens Out $0.9000 / 1M tokens | text
Output: text | Tool choice | 8.2K | Text covered Overall 83% |
| llama-3-8b vercel_ai_gateway | In $0.0500 / 1M tokens Out $0.0800 / 1M tokens | text
Output: text | Tool choice | 8.2K | Same provider Overall 81% |
| anthropic.claude-v2:1 Bedrock | In $8.0000 / 1M tokens Out $24.0000 / 1M tokens | text
Output: text | Tool choice | 8.2K | Text covered Overall 81% |
| Meta-Llama-3-70B-Instruct azure_ai | In $1.1000 / 1M tokens Out $0.3700 / 1M tokens | text
Output: text | Tool choice | 2.0K | Text covered Overall 81% |
| gpt-35-turbo-16k Azure | In $3.0000 / 1M tokens Out $4.0000 / 1M tokens | text
Output: text | Tool choice | 4.1K | Text covered Overall 78% |
| llama-4-maverick vercel_ai_gateway | In $0.2000 / 1M tokens Out $0.6000 / 1M tokens | text image
Output: text | Tool choice | 8.2K | Same provider Overall 77% |
| deepseek-v3 fireworks_ai | In $0.9000 / 1M tokens Out $0.9000 / 1M tokens | text
Output: text | Low overlap | 8.2K | Text covered Overall 75% |
| gpt-4-32k Azure | In $60.0000 / 1M tokens Out $120.0000 / 1M tokens | text
Output: text | Tool choice | 4.1K | Text covered Overall 73% |
| gpt-4-32k-0613 Azure | In $60.0000 / 1M tokens Out $120.0000 / 1M tokens | text
Output: text | Tool choice | 4.1K | Text covered Overall 73% |
| mixtral-8x22b-instruct OpenRouter | In $0.6500 / 1M tokens Out $0.6500 / 1M tokens | text file
Output: text | Tool choice | 65.5K | Text covered Overall 69% |
| qwen2-72b-instruct fireworks_ai | In $0.9000 / 1M tokens Out $0.9000 / 1M tokens | text
Output: text | Low overlap | 32.8K | Text covered Overall 64% |
| deepseek-v3-0324 fireworks_ai | In $0.9000 / 1M tokens Out $0.9000 / 1M tokens | text
Output: text | Low overlap | 163.8K | Text covered Overall 61% |
| llama-v3p2-90b-vision-instruct fireworks_ai | In $0.9000 / 1M tokens Out $0.9000 / 1M tokens | text image
Output: text | Low overlap | 16.4K | Text covered Overall 55% |
| Mixtral-8x22B-Instruct-v0.1 anyscale | In $0.9000 / 1M tokens Out $0.9000 / 1M tokens | text
Output: unknown | Low overlap | 65.5K | Partial I/O overlap Overall 22% Missing text |
No models match this filter.