qwen2.5-coder-7b

llamagate · Chat model

qwen2.5-coder-7b is listed here as a chat model from llamagate. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.

Provider and model identifiers are kept in their original form for accuracy.

llamagate-llamagate-qwen2-5-coder-7b

Input

$0.0600 / 1M tokens

Output

$0.1200 / 1M tokens

Cached input

N/A

Context window

8.2K

Catalog generated: Jul 13, 2026

Compare this model Open a side-by-side table using this route and a close match from the current catalog. Estimate cost Use token counts, request volume, and cache assumptions to check a realistic monthly bill.

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	$0.0600 / 1M tokens
Output	$0.1200 / 1M tokens
Embedding	$0.0600 / 1M tokens

Limits

Context window

8.2K

Max input tokens

32.8K

Max output tokens

8.2K

Max tokens

8.2K

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. API vs subscription Learn when API pricing matters compared with ChatGPT, Claude Code, Cursor, or Copilot subscriptions. Cache and batch pricing Understand cached input, cache write, batch, priority, and flex pricing rows shown on this page.

Capabilities

Capability	Supported
Vision	-
Function calling	Supported
Parallel function calling	-
Tool choice	-
Prompt caching	-
Reasoning	-
Response schema	Supported
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	74.2%	accuracy	Base model: Qwen2.5 (Qwen2.5-7B-Instruct)	2026-05-31	Link
MMLU	83.3%	accuracy	Base model: Qwen2.5 (Qwen2.5-32B-Instruct)	2026-05-31	Link
MATH	49.8%	accuracy	Base model: Qwen2.5 (Qwen2.5-7B-Instruct)	2026-05-31	Link
MATH	57.7%	accuracy	Base model: Qwen2.5 (Qwen2.5-32B-Instruct)	2026-05-31	Link
HumanEval	57.9%	pass@1	Base model: Qwen2.5 (Qwen2.5-7B-Instruct)	2026-05-31	Link
HumanEval	58.5%	pass@1	Base model: Qwen2.5 (Qwen2.5-32B-Instruct)	2026-05-31	Link
Artificial Analysis Coding Index	11.9	score	Base model: qwen2.5 (qwen/qwen-2.5-72b-instruct)	2026-05-31	Link
GPQA Diamond	49.1%	accuracy	Base model: qwen2.5 (qwen/qwen-2.5-72b-instruct)	2026-05-31	Link
Humanity's Last Exam	4.2%	accuracy	Base model: qwen2.5 (qwen/qwen-2.5-72b-instruct)	2026-05-31	Link
IFBench	36.9%	accuracy	Base model: qwen2.5 (qwen/qwen-2.5-72b-instruct)	2026-05-31	Link
SciCode	26.7%	accuracy	Base model: qwen2.5 (qwen/qwen-2.5-72b-instruct)	2026-05-31	Link
Aider Polyglot	16.4%	percent correct	Base model: Qwen2.5-Coder (Qwen2.5-Coder-32B-Instruct)	2026-05-31	Link

Sources

Source links	LiteLLM repository LiteLLM model cost map
Pricing data	LiteLLM model cost map
Synced at	2026-05-28
Catalog generated	2026-07-13T14:21:55.110Z