Author's Description
Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). Qwen2.5-Coder brings the following improvements upon CodeQwen1.5: - Significantly improvements in **code generation**, **code reasoning** and **code fixing**. - A more comprehensive foundation for real-world applications such as **Code Agents**. Not only enhancing coding capabilities but also maintaining its strengths in mathematics and general competencies. To read more about its evaluation results, check out [Qwen 2.5 Coder's blog](https://qwenlm.github.io/blog/qwen2.5-coder-family/).
Key Specifications
Supported Parameters
This model supports the following parameters:
Features
This model supports the following features:
Performance Summary
Qwen2.5 Coder 32B Instruct, a recent iteration in the Qwen series, demonstrates a strong overall performance profile. It consistently performs among the fastest models, ranking in the 77th percentile for speed across various benchmarks. Furthermore, its pricing is highly competitive, placing it in the 87th percentile for cost-effectiveness. The model exhibits exceptional reliability, achieving a 100% success rate across all evaluated benchmarks, indicating minimal technical failures. In terms of specific capabilities, Qwen2.5 Coder 32B Instruct excels in Instruction Following, achieving perfect accuracy in one instance and demonstrating strong performance in another. It also shows impressive accuracy in Ethics (99.0%) and General Knowledge (96.2%). While its Email Classification accuracy is solid at 96.0%, its performance in the Coding (Baseline) benchmark is moderate at 77.0% accuracy, placing it in the 44th percentile. Similarly, its Reasoning capabilities are respectable at 72.0% accuracy. The model's key strengths lie in its robust instruction following, high reliability, and competitive pricing, making it a versatile option for tasks requiring precise adherence to directives and consistent operation. Its primary area for potential improvement appears to be in the core coding benchmark, despite its description as a code-specific model with significant improvements in code generation and reasoning.
Model Pricing
Current Pricing
Feature | Price (per 1M tokens) |
---|---|
Prompt | $0.06 |
Completion | $0.15 |
Price History
Available Endpoints
Provider | Endpoint Name | Context Length | Pricing (Input) | Pricing (Output) |
---|---|---|---|---|
DeepInfra
|
DeepInfra | qwen/qwen-2.5-coder-32b-instruct | 32K | $0.06 / 1M tokens | $0.15 / 1M tokens |
Nebius
|
Nebius | qwen/qwen-2.5-coder-32b-instruct | 131K | $0.06 / 1M tokens | $0.18 / 1M tokens |
Lambda
|
Lambda | qwen/qwen-2.5-coder-32b-instruct | 32K | $0.07 / 1M tokens | $0.16 / 1M tokens |
Hyperbolic
|
Hyperbolic | qwen/qwen-2.5-coder-32b-instruct | 32K | $0.2 / 1M tokens | $0.2 / 1M tokens |
Cloudflare
|
Cloudflare | qwen/qwen-2.5-coder-32b-instruct | 32K | $0.66 / 1M tokens | $1 / 1M tokens |
Together
|
Together | qwen/qwen-2.5-coder-32b-instruct | 32K | $0.8 / 1M tokens | $0.8 / 1M tokens |
Featherless
|
Featherless | qwen/qwen-2.5-coder-32b-instruct | 16K | $0.05 / 1M tokens | $0.2 / 1M tokens |
Chutes
|
Chutes | qwen/qwen-2.5-coder-32b-instruct | 32K | $0.05 / 1M tokens | $0.2 / 1M tokens |
Benchmark Results
Benchmark | Category | Reasoning | Free | Executions | Accuracy | Cost | Duration |
---|
Other Models by qwen
|
Released | Params | Context |
|
Speed | Ability | Cost |
---|---|---|---|---|---|---|---|
Qwen: Qwen3 30B A3B Instruct 2507 | Jul 29, 2025 | 30B | 131K |
Text input
Text output
|
★★★★ | ★★★★ | $$$ |
Qwen: Qwen3 235B A22B Thinking 2507 | Jul 25, 2025 | 235B | 131K |
Text input
Text output
|
★ | ★★★★ | $$$$$ |
Qwen: Qwen3 Coder | Jul 22, 2025 | 480B | 1M |
Text input
Text output
|
★★★★ | ★★★ | $$$ |
Qwen: Qwen3 235B A22B Instruct 2507 | Jul 21, 2025 | 235B | 262K |
Text input
Text output
|
★ | ★★★ | $$$ |
Qwen: Qwen3 30B A3B | Apr 28, 2025 | 30B | 40K |
Text input
Text output
|
★ | ★★★★★ | $$$$ |
Qwen: Qwen3 8B | Apr 28, 2025 | 8B | 128K |
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Text output
|
★ | ★★★ | $$$ |
Qwen: Qwen3 14B | Apr 28, 2025 | 14B | 40K |
Text input
Text output
|
★★ | ★★★★★ | $$$ |
Qwen: Qwen3 32B | Apr 28, 2025 | 32B | 40K |
Text input
Text output
|
★ | ★★★★★ | $$$ |
Qwen: Qwen3 235B A22B | Apr 28, 2025 | 235B | 40K |
Text input
Text output
|
★ | ★★★★ | $$$$ |
Qwen: Qwen2.5 VL 32B Instruct | Mar 24, 2025 | 32B | 128K |
Text input
Image input
Text output
|
★★ | ★★★ | $$$ |
Qwen: QwQ 32B | Mar 05, 2025 | 32B | 131K |
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Text output
|
★ | ★★★ | $$$ |
Qwen: Qwen VL Plus | Feb 04, 2025 | — | 7K |
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Image input
Text output
|
★★★★ | ★★ | $$$ |
Qwen: Qwen VL Max | Feb 01, 2025 | — | 7K |
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Image input
Text output
|
★★★★★ | ★★★ | $$$$ |
Qwen: Qwen-Turbo | Feb 01, 2025 | — | 1M |
Text input
Text output
|
★★★★★ | ★★★★ | $$ |
Qwen: Qwen2.5 VL 72B Instruct | Feb 01, 2025 | 72B | 32K |
Text input
Image input
Text output
|
★★★★ | ★★★★ | $$ |
Qwen: Qwen-Plus | Feb 01, 2025 | — | 131K |
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Text output
|
★★★ | ★★★★ | $$$ |
Qwen: Qwen-Max | Feb 01, 2025 | — | 32K |
Text input
Text output
|
★★★ | ★★★★ | $$$$ |
Qwen: QwQ 32B Preview | Nov 27, 2024 | 32B | 32K |
Text input
Text output
|
— | ★ | $$ |
Qwen2.5 7B Instruct | Oct 15, 2024 | ~500B | 32K |
Text input
Text output
|
★ | ★★★ | $$ |
Qwen2.5 72B Instruct | Sep 18, 2024 | ~500B | 32K |
Text input
Text output
|
★★★ | ★★★ | $$$ |
Qwen: Qwen2.5-VL 7B Instruct | Aug 27, 2024 | ~500B | 32K |
Text input
Image input
Text output
|
★★★ | ★★★ | $$$ |
Qwen 2 72B Instruct | Jun 06, 2024 | ~500B | 32K |
Text input
Text output
|
★★★★ | ★★ | $$$$ |