LLM Pricing
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DeepSeek-V3

deepinfra · chat model

DeepSeek-V3 is listed here as a chat model from deepinfra. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.

Input
$0.3800 / 1M tokens
Output
$0.8900 / 1M tokens
Cached input
N/A
Context
163.8K
Compare similar models Open a side-by-side table using this route and the closest match from the current catalog. Estimate workload cost Use token counts, request volume, and cache assumptions to check a realistic monthly bill. Explore benchmark family Review source-backed benchmark rows for the attached base model family. Check data sources See how pricing data is generated and what still needs provider verification.

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
$0.3800 / 1M tokens
Output
$0.8900 / 1M tokens
Embedding
$0.3800 / 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

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
deepinfra
In $0.3800 / 1M tokens
Out $0.8900 / 1M tokens
text
Output: text
Function callingTool choice
163.8K
Current model
Reference row

Overall blends cost, modality overlap, capabilities, and context.

Model Cost Input shape Features Context Why it is close
DeepSeek-V3-0324
deepinfra
In $0.2500 / 1M tokens
Out $0.8800 / 1M tokens
text
Output: text
Function callingTool choice
163.8K
Same provider
Overall 97%
DeepSeek-V3.1-Terminus
deepinfra
In $0.2700 / 1M tokens
Out $1.0000 / 1M tokens
text
Output: text
Function callingTool choice
163.8K
Same provider
Overall 96%
GLM-4.5
deepinfra
In $0.4000 / 1M tokens
Out $1.6000 / 1M tokens
text
Output: text
Function callingTool choice
131.1K
Same provider
Overall 92%
DeepSeek-R1-0528
deepinfra
In $0.5000 / 1M tokens
Out $2.1500 / 1M tokens
text
Output: text
Function callingTool choice
163.8K
Same provider
Overall 91%
Meta-Llama-3.1-70B-Instruct
deepinfra
In $0.4000 / 1M tokens
Out $0.4000 / 1M tokens
text
Output: text
Function callingTool choice
131.1K
Same provider
Overall 90%
grok-3-mini
vercel_ai_gateway
In $0.3000 / 1M tokens
Out $0.5000 / 1M tokens
text
Output: text
Function callingTool choice
131.1K
Text covered
Overall 90%
Hermes-3-Llama-3.1-405B
deepinfra
In $1.0000 / 1M tokens
Out $1.0000 / 1M tokens
text
Output: text
Function callingTool choice
131.1K
Same provider
Overall 90%
qwen3-coder
OpenRouter
In $0.2200 / 1M tokens
Out $0.9500 / 1M tokens
text
Output: text
Function callingTool choice
262.1K
Text covered
Overall 90%
Qwen3-Coder-480B-A35B-Instruct-Turbo
deepinfra
In $0.2900 / 1M tokens
Out $1.2000 / 1M tokens
text
Output: text
Function callingTool choice
262.1K
Same provider
Overall 89%
Qwen3-Coder-480B-A35B-Instruct
deepinfra
In $0.4000 / 1M tokens
Out $1.6000 / 1M tokens
text
Output: text
Function callingTool choice
262.1K
Same provider
Overall 89%
codestral-2508
Mistral
In $0.3000 / 1M tokens
Out $0.9000 / 1M tokens
text
Output: text
Function callingTool choice
256.0K
Text covered
Overall 84%
codestral
vercel_ai_gateway
In $0.3000 / 1M tokens
Out $0.9000 / 1M tokens
text
Output: text
Function callingTool choice
4.0K
Text covered
Overall 83%
Llama-3.3-70B-Instruct
azure_ai
In $0.7100 / 1M tokens
Out $0.7100 / 1M tokens
text
Output: text
Function callingTool choice
2.0K
Text covered
Overall 79%
gpt-3.5-turbo
Azure
In $0.5000 / 1M tokens
Out $1.5000 / 1M tokens
text
Output: text
Function callingTool choice
4.1K
Text covered
Overall 79%
gpt-35-turbo
Azure
In $0.5000 / 1M tokens
Out $1.5000 / 1M tokens
text
Output: text
Function callingTool choice
4.1K
Text covered
Overall 79%
Phi-4
azure_ai
In $0.1250 / 1M tokens
Out $0.5000 / 1M tokens
text
Output: text
Function callingTool choice
16.4K
Text covered
Overall 76%
gpt-35-turbo-16k-0613
Azure
In $3.0000 / 1M tokens
Out $4.0000 / 1M tokens
text
Output: text
Function callingTool choice
4.1K
Text covered
Overall 69%
gpt-4-0613
Azure
In $30.0000 / 1M tokens
Out $60.0000 / 1M tokens
text
Output: text
Function callingTool choice
4.1K
Text covered
Overall 66%
codestral-2@001
vertex_ai-mistral_models
In $0.3000 / 1M tokens
Out $0.9000 / 1M tokens
text
Output: unknown
Function callingTool choice
128.0K
Partial I/O overlap
Overall 55%
Missing text
codestral-2
vertex_ai-mistral_models
In $0.3000 / 1M tokens
Out $0.9000 / 1M tokens
text
Output: unknown
Function callingTool choice
128.0K
Partial I/O overlap
Overall 55%
Missing text
codestral-2@001
vertex_ai-mistral_models
In $0.3000 / 1M tokens
Out $0.9000 / 1M tokens
text
Output: unknown
Function callingTool choice
128.0K
Partial I/O overlap
Overall 55%
Missing text
codestral-2
vertex_ai-mistral_models
In $0.3000 / 1M tokens
Out $0.9000 / 1M tokens
text
Output: unknown
Function callingTool choice
128.0K
Partial I/O overlap
Overall 55%
Missing text