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Qwen2.5-7B-Instruct-Turbo

Together AI · chat model

Qwen2.5-7B-Instruct-Turbo is listed here as a chat model from Together AI. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.

Input
N/A
Output
N/A
Cached input
N/A
Context
N/A
Compare similar models Open a side-by-side table using this route and the closest match from the current catalog. 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.

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

Token limits

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 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

Sources

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

Docs

Official docs

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
Qwen2.5-7B-Instruct-Turbo
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In N/A
Out N/A
text
Output: text
Function callingParallel function callingTool choiceResponse schema
N/A
Current model
Reference row

Overall blends cost, modality overlap, capabilities, and context.

Model Cost Input shape Features Context Why it is close
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Out N/A
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Meta-Llama-3.1-8B-Instruct-Turbo
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Out $0.1800 / 1M tokens
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Out $2.0000 / 1M tokens
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Overall 65%
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Out $3.0000 / 1M tokens
text
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Overall 65%
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Function callingParallel function callingTool choiceResponse schema
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Llama-3.2-3B-Instruct
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Out $0.0200 / 1M tokens
text
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paddleocr-vl
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titan-embed-text-v2
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Out N/A
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Missing text
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Missing text
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Out $0.0300 / 1M tokens
text
Output: unknown
Low overlap
N/A
Partial I/O overlap
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Missing text