Qwen2.5-72B (fw)

Name: Qwen2.5-72B (fw)
Brand: Fireworks AI
Price: 0.900000 USD

Balanced

Alibaba's open-weights flagship. Top-tier on multilingual and coding benchmarks among open models.

Qwen2.5-72B (fw) is a frontier AI model from Fireworks AI. It costs $0.900 per million input tokens and $0.900 per million output tokens (blended $0.900/M), with a 32,000-token context window.

Profile inherited from upstream Qwen2.5-72B ↗ — this is a hosted variant of the same open-weights model.

Modalities textOfficial model page ↗Provider pricing ↗API docs ↗Compare with another model →Estimate monthly cost →

INPUT

$0.900/M

per million input tokens

OUTPUT

$0.900/M

per million output tokens

BLENDED 70/30

$0.900/M

unchanged since 3 May

default reference rate · how it is calculated →

CONTEXT

32,000

tokens

What it is good at

Top open-weights multilingual
Strong code
128K context
Permissive license

Typical use cases

Multilingual self-hosted chat
Code generation
Fine-tune base

Benchmarks

vs. best public score

Scores inherited from Qwen2.5-72B — this is a hosted variant of the same open-weights model, so the underlying benchmark scores are identical.

MMLU86%

Multitask academic knowledge across 57 subjects.

GPQA Diamond49%

Graduate-level science questions, "Google-proof".

MATH83%

High-school competition math problems.

HumanEval86%

Python function synthesis from docstrings.

LMArena Elo1257 Elo

Crowd-sourced head-to-head preference Elo rating.

Hand-curated from each provider's published reports and public leaderboards. Methodology varies across sources, treat as directional rather than authoritative.

More from Fireworks AI

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Llama 3.1 405B (fw)

Serverless · 131,000 ctx

in $3.000/Mout $3.000/M

Mixtral 8x7B (fw)

Serverless · 32,000 ctx

in $0.200/Mout $0.200/M

DeepSeek-R1 (fw)

Reasoning · 64,000 ctx

in $3.000/Mout $8.000/M

Llama 3.1 8B (fw)

Nano · 131,000 ctx

in $0.100/Mout $0.100/M

Yi-34B (fw)

Open · 4,000 ctx

in $0.900/Mout $0.900/M

Phind-CodeLlama-34B (fw)

Code · 16,000 ctx

in $0.800/Mout $0.800/M

Frequently asked questions

How much does Qwen2.5-72B (fw) cost?

Qwen2.5-72B (fw) costs $0.900 per million input tokens and $0.900 per million output tokens, for a blended reference rate of $0.900 per million tokens.

What is Qwen2.5-72B (fw)'s context window?

Qwen2.5-72B (fw) supports up to 32,000 tokens of context in a single request.

What is Qwen2.5-72B (fw) best for?

Qwen2.5-72B (fw) is well suited to Top open-weights multilingual, Strong code and 128K context.

Who makes Qwen2.5-72B (fw)?

Qwen2.5-72B (fw) is developed and served by Fireworks AI.

Terms used on this page

Full glossary →

Token Input tokens Output tokens Price per million tokens Context window Prompt caching Batch API Blended cost