DeepSeek-V3
hyperbolic · chat model
DeepSeek-V3 is listed here as a chat model from hyperbolic. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
Input
$0.2000 / 1M tokens
Output
$0.2000 / 1M tokens
Cached input
N/A
Context
32.8K
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 | $0.2000 / 1M tokens |
| Output | $0.2000 / 1M tokens |
| Embedding | $0.2000 / 1M tokens |
Token limits
Context window
32.8K
Max input tokens
32.8K
Max output tokens
32.8K
Max tokens
32.8K
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 |
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 hyperbolic | In $0.2000 / 1M tokens Out $0.2000 / 1M tokens |
Output: unknown | Function callingParallel function callingTool choiceSystem messages | 32.8K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| Hermes-3-Llama-3.1-70B hyperbolic | In $0.1200 / 1M tokens Out $0.3000 / 1M tokens |
Output: unknown | Function callingParallel function callingTool choiceSystem messages | 32.8K | Same provider Overall 53% |
| Qwen2.5-Coder-32B-Instruct hyperbolic | In $0.1200 / 1M tokens Out $0.3000 / 1M tokens |
Output: unknown | Function callingParallel function callingTool choiceSystem messages | 32.8K | Same provider Overall 53% |
| Llama-3.2-3B-Instruct hyperbolic | In $0.1200 / 1M tokens Out $0.3000 / 1M tokens |
Output: unknown | Function callingParallel function callingTool choiceSystem messages | 32.8K | Same provider Overall 53% |
| Meta-Llama-3.1-405B-Instruct hyperbolic | In $0.1200 / 1M tokens Out $0.3000 / 1M tokens |
Output: unknown | Function callingParallel function callingTool choiceSystem messages | 32.8K | Same provider Overall 53% |
| Meta-Llama-3.1-70B-Instruct hyperbolic | In $0.1200 / 1M tokens Out $0.3000 / 1M tokens |
Output: unknown | Function callingParallel function callingTool choiceSystem messages | 32.8K | Same provider Overall 53% |
| Meta-Llama-3.1-8B-Instruct hyperbolic | In $0.1200 / 1M tokens Out $0.3000 / 1M tokens |
Output: unknown | Function callingParallel function callingTool choiceSystem messages | 32.8K | Same provider Overall 53% |
| QwQ-32B hyperbolic | In $0.2000 / 1M tokens Out $0.2000 / 1M tokens |
Output: unknown | Function callingParallel function callingTool choiceSystem messages | 131.1K | Same provider Overall 49% |
| Llama-3.3-70B-Instruct crusoe | In $0.2000 / 1M tokens Out $0.2000 / 1M tokens |
Output: unknown | Function callingParallel function callingTool choiceSystem messages | 131.1K | Partial I/O overlap Overall 49% |
| DeepSeek-R1-0528 hyperbolic | In $0.2500 / 1M tokens Out $0.2500 / 1M tokens |
Output: unknown | Function callingParallel function callingTool choiceSystem messages | 131.1K | Same provider Overall 45% |
| lfm-40b lambda_ai | In $0.1000 / 1M tokens Out $0.2000 / 1M tokens |
Output: unknown | Function callingParallel function callingTool choiceSystem messages | 131.1K | Partial I/O overlap Overall 44% |
| Qwen2.5-72B-Instruct hyperbolic | In $0.1200 / 1M tokens Out $0.3000 / 1M tokens |
Output: unknown | Function callingParallel function callingTool choiceSystem messages | 131.1K | Same provider Overall 41% |
| gpt-audio-mini-2025-10-06 Azure | In $0.6000 / 1M tokens Out $2.4000 / 1M tokens |
Output: audio, text | Function callingParallel function callingTool choiceSystem messages | 16.4K | Partial I/O overlap Overall 36% |
| mistral.ministral-3-14b-instruct bedrock_converse | In $0.2000 / 1M tokens Out $0.2000 / 1M tokens | imagetext
Output: text | Function callingSystem messages | 8.2K | Partial I/O overlap Overall 36% |
| gpt-audio-2025-08-28 Azure | In $2.5000 / 1M tokens Out $10.0000 / 1M tokens |
Output: audio, text | Function callingParallel function callingTool choiceSystem messages | 16.4K | Partial I/O overlap Overall 33% |
| gpt-audio-1.5-2026-02-23 Azure | In $2.5000 / 1M tokens Out $10.0000 / 1M tokens |
Output: audio, text | Function callingParallel function callingTool choiceSystem messages | 16.4K | Partial I/O overlap Overall 33% |
| gpt-4o-audio-preview-2024-12-17 Azure | In $2.5000 / 1M tokens Out $10.0000 / 1M tokens |
Output: audio, text | Function callingParallel function callingTool choiceSystem messages | 16.4K | Partial I/O overlap Overall 33% |
| gpt-4o-mini-audio-preview-2024-12-17 Azure | In $2.5000 / 1M tokens Out $10.0000 / 1M tokens |
Output: audio, text | Function callingParallel function callingTool choiceSystem messages | 16.4K | Partial I/O overlap Overall 33% |
| llama-v3p2-11b-vision-instruct fireworks_ai | In $0.2000 / 1M tokens Out $0.2000 / 1M tokens | imagetext
Output: text | Low overlap | 16.4K | Partial I/O overlap Overall 28% |
| llama-guard-4-12b Groq | In $0.2000 / 1M tokens Out $0.2000 / 1M tokens |
Output: unknown | Low overlap | 8.2K | Partial I/O overlap Overall 24% |
| llama3-8b-instruct gradient_ai | In $0.2000 / 1M tokens Out $0.2000 / 1M tokens |
Output: unknown | Low overlap | 512 | Partial I/O overlap Overall 20% |
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