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Qwen2.5-Coder 7B Instruct

alibaba·alibaba/qwen2-5-coder-7b-instruct·GA·Open weights·qwen series
Qwen coding model for software agents, repository edits, and code reasoning

Qwen2.5-Coder 7B Instruct by alibaba is currently listed from a single provider. Its official list price is $0.144 per 1M input tokens and $0.287 per 1M output tokens.

Artificial Analysis rates it 5.8 on the Intelligence Index. Against its lowest blended price of $0.18 per 1M, that is roughly 32 index points per dollar, which is the value ratio the leaderboards rank on.

The context window is 131,072 tokens, with an output limit of 8,192 tokens. It supports tool use. The weights are open, so it can also be self-hosted or served through a gateway of your choice. Its training knowledge cuts off at 2024-04.

Specs & pricing

Input / output per 1M tokens
Official price·Alibaba (China)
$0.14 / $0.29
Blended $0.18 · Cache read —
Lowest paid·Alibaba (China)First-party
$0.14 / $0.29
Blended $0.18
Context
131,072
Output limit
8,192
Knowledge cutoff
2024-04
Released / updated
2024-11 / 2024-11
Capabilities
Reasoning✓ Tool use? Structured output✓ TemperatureAttachments
Modalities
Text

Quality & performanceArtificial Analysis · Intelligence Index v4.3

Intelligence5.8
Value32
Coding—
Agentic—
Output speed—
TTFT—
Value formulaIQ 5.8 ÷ min blended $0.180 = 32

Quality is independently evaluated by Artificial Analysis. Speed/latency are model-level medians.

Available at 1 providers1 with public prices

ProviderTierInputOutputCache readCache writeContextOutput limitStatus
Alibaba (China)OfficialFirst-party$0.14$0.29——131,0728,192

Sorted by blended price (input×0.75 + output×0.25) asc. The official channel always shows regardless of rank. Whether a gateway's low price is actually usable can't be verified.

Your usage cost

1Alibaba (China) · Official$43.15
The cheapest paid channel is official.

Price historyone sample accumulated per data sync

Input listOutput listMin blended
$0.29$02026-08-052026-08-132026-08-05 · Input list $0.142026-08-06 · Input list $0.142026-08-07 · Input list $0.142026-08-08 · Input list $0.142026-08-09 · Input list $0.142026-08-10 · Input list $0.142026-08-11 · Input list $0.142026-08-12 · Input list $0.142026-08-13 · Input list $0.142026-08-05 · Output list $0.292026-08-06 · Output list $0.292026-08-07 · Output list $0.292026-08-08 · Output list $0.292026-08-09 · Output list $0.292026-08-10 · Output list $0.292026-08-11 · Output list $0.292026-08-12 · Output list $0.292026-08-13 · Output list $0.292026-08-05 · Min blended $0.182026-08-06 · Min blended $0.182026-08-07 · Min blended $0.182026-08-08 · Min blended $0.182026-08-09 · Min blended $0.182026-08-10 · Min blended $0.182026-08-11 · Min blended $0.182026-08-12 · Min blended $0.182026-08-13 · Min blended $0.18

Artificial Analysis evaluations6 items

GPQA Diamond33.9%
Humanity's Last Exam4.9%
MMLU-Pro47.3%
LiveCodeBench12.6%
AIME5.3%
MATH-50066.0%

Individual evaluations run by Artificial Analysis, on the same reasoning tier as the intelligence score above. Each benchmark has its own task set and harness, so rows are not comparable with one another. The Intelligence Index above draws on a different, newer set of evaluations.

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Data partly from models.dev (MIT) · Alibaba (China) official docs ↗