deepseek-v3

fireworks_ai · chat model

deepseek-v3 is listed here as a chat model from fireworks_ai. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.

Input

$0.9000 / 1M tokens

Output

$0.9000 / 1M tokens

Cached input

N/A

Context

8.2K

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

Context window

8.2K

Max input tokens

128.0K

Max output tokens

8.2K

Max tokens

8.2K

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	LiteLLM repository LiteLLM model cost map
Pricing data	LiteLLM model cost map
Synced at	2026-05-28

Docs

Official docs

manual model modalities source urls

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 fireworks_ai	In $0.9000 / 1M tokens Out $0.9000 / 1M tokens	text Output: text	Response schema	8.2K	Current model Reference row

Model	Cost	Input shape	Features	Context	Why it is close
qwen2p5-coder-32b-instruct fireworks_ai	In $0.9000 / 1M tokens Out $0.9000 / 1M tokens	text Output: text	Response schema	4.1K	Same provider Overall 93%
qwen2-72b-instruct fireworks_ai	In $0.9000 / 1M tokens Out $0.9000 / 1M tokens	text Output: text	Response schema	32.8K	Same provider Overall 89%
deepseek-v3-0324 fireworks_ai	In $0.9000 / 1M tokens Out $0.9000 / 1M tokens	text Output: text	Response schema	163.8K	Same provider Overall 86%
firefunction-v2 fireworks_ai	In $0.9000 / 1M tokens Out $0.9000 / 1M tokens	text Output: text	Response schema	8.2K	Same provider Overall 83%
deepseek-coder-v2-instruct fireworks_ai	In $1.2000 / 1M tokens Out $1.2000 / 1M tokens	text Output: text	Response schema	65.5K	Same provider Overall 82%
deepseek-r1-basic fireworks_ai	In $0.5500 / 1M tokens Out $2.1900 / 1M tokens	text Output: text	Response schema	20.5K	Same provider Overall 81%
deepseek-r1 fireworks_ai	In $3.0000 / 1M tokens Out $8.0000 / 1M tokens	text Output: text	Response schema	20.5K	Same provider Overall 75%
llama-v3p1-8b-instruct fireworks_ai	In $0.1000 / 1M tokens Out $0.1000 / 1M tokens	text Output: text	Response schema	16.4K	Same provider Overall 75%
deepseek-r1-0528 fireworks_ai	In $3.0000 / 1M tokens Out $8.0000 / 1M tokens	text Output: text	Response schema	160.0K	Same provider Overall 70%
llama-v3p2-90b-vision-instruct fireworks_ai	In $0.9000 / 1M tokens Out $0.9000 / 1M tokens	text image Output: text	Response schema	16.4K	Same provider Overall 68%
llama4-maverick-instruct-basic fireworks_ai	In $0.2200 / 1M tokens Out $0.8800 / 1M tokens	text image Output: text	Response schema	131.1K	Same provider Overall 67%
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