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Qwen2.5-72B (Together)

Managed

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

Qwen2.5-72B (Together) is a frontier AI model from Together AI. It costs $1.200 per million input tokens and $1.200 per million output tokens (blended $1.200/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
$1.200/M
per million input tokens
OUTPUT
$1.200/M
per million output tokens
BLENDED 70/30
$1.200/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 Together AI

See all 10 →
Llama 3.3 70B (Together)
Managed · 128,000 ctx
in $0.880/Mout $0.880/M
Llama 3.1 405B (Together)
Managed Large · 128,000 ctx
in $3.500/Mout $3.500/M
DeepSeek-R1 (Together)
Reasoning · 64,000 ctx
in $3.000/Mout $7.000/M
DBRX Instruct (Together)
Enterprise · 32,000 ctx
in $1.200/Mout $1.200/M
Mixtral 8x22B (Together)
Large MoE · 64,000 ctx
in $1.200/Mout $1.200/M
Falcon 40B (Together)
Open · 2,000 ctx
in $0.900/Mout $0.900/M

Frequently asked questions

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

Qwen2.5-72B (Together) costs $1.200 per million input tokens and $1.200 per million output tokens, for a blended reference rate of $1.200 per million tokens.

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

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

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

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

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

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

Terms used on this page

Full glossary →
TokenInput tokensOutput tokensPrice per million tokensContext windowPrompt cachingBatch APIBlended cost