Alibaba has launched a newer model, Qwen3 8B, we suggest considering this model instead.
For more information, see Comparison of Qwen3 8B to other models and API provider benchmarks for Qwen3 8B.
Qwen2.5 Coder Instruct 7B Intelligence, Performance & Price Analysis
Model summary
Intelligence
Artificial Analysis Intelligence Index
Speed
Output tokens per second
Input Price
USD per 1M tokens
Output Price
USD per 1M tokens
Verbosity
Output tokens from Intelligence Index
Metrics are compared against models of the same class:
- Non-reasoning models → compared only with other non-reasoning models
- Reasoning models → compared across both reasoning and non-reasoning
- Open weights models → compared only with other open weights models of the same size class:
- Tiny: ≤4B parameters
- Small: 4B–40B parameters
- Medium: 40B–150B parameters
- Large: >150B parameters
- Proprietary models → compared across proprietary and open weights models of the same price range, using a blended 3:1 input/output price ratio:
- <$0.15 per 1M tokens
- $0.15–$1 per 1M tokens
- >$1 per 1M tokens
| Reasoning | No This page shows the non-reasoning version of this model. A reasoning variant may also exist. |
|---|---|
| Input modality | Supports: This information is still being updated |
| Output modality | This information is still being updated |
| Context window | 131k ~197 A4 pages of size 12 Arial font |
| Total parameters | 7.6B |
| License | Apache 2.0 |
| Model weights | Hugging Face |
Qwen2.5 Coder Instruct 7B is among the least intelligent models, but well priced when comparing to other open weight non-reasoning models of similar size. The model has a 131k tokens context window.
Qwen2.5 Coder Instruct 7B scores 10 on the Artificial Analysis Intelligence Index, placing it at the lower end among comparable models (averaging 12). When evaluating the Intelligence Index, it generated 1.2M tokens, which is very concise in comparison to the average of 5.6M.
Pricing for Qwen2.5 Coder Instruct 7B is $0.00 per 1M input tokens (competitively priced, average: $0.09) and $0.00 per 1M output tokens (competitively priced, average: $0.20). In total, it cost $0.00 to evaluate Qwen2.5 Coder Instruct 7B on the Intelligence Index.
Intelligence
Artificial Analysis Intelligence Index
Artificial Analysis Intelligence Index by Open Weights / Proprietary
Intelligence Evaluations
Openness
Artificial Analysis Openness Index: Results
Intelligence Index Comparisons
Intelligence vs. Price
Intelligence Index Token Use & Cost
Output Tokens Used to Run Artificial Analysis Intelligence Index
Cost to Run Artificial Analysis Intelligence Index
Context Window
Context Window
Pricing
Pricing: Input and Output Prices
Intelligence vs. Price (Log Scale)
Pricing Comparison of Qwen2.5 Coder Instruct 7B API Providers
Speed
Measured by Output Speed (tokens per second)
Output Speed
Output Speed vs. Price
Latency
Measured by Time (seconds) to First Token
Latency: Time To First Answer Token
End-to-End Response Time
Seconds to output 500 Tokens, calculated based on time to first token, 'thinking' time for reasoning models, and output speed
End-to-End Response Time
Model Size (Open Weights Models Only)
Model Size: Total and Active Parameters
Comparisons to Qwen2.5 Coder 7B
- Qwen2.5 Coder 7B
GPT-5.4 (xhigh)- gpt-oss-20B (high)
- gpt-oss-120B (high)
- GPT-5.4 Pro (xhigh)
- GPT-5.2 (xhigh)
- GPT-5.3 Codex (xhigh)
Llama 4 Maverick
Gemini 3.1 Pro Preview- Gemini 3.1 Flash-Lite Preview
- Gemini 3 Flash
Claude 4.5 Haiku- Claude Opus 4.6 (max)
- Claude Sonnet 4.6 (max)
Mistral Large 3
DeepSeek V3.2
Grok 4.20 Beta 0309- Grok 4.1 Fast
Nova 2.0 Pro Preview (medium)
MiniMax-M2.5
NVIDIA Nemotron 3 Super- NVIDIA Nemotron 3 Nano
Kimi K2.5
K-EXAONE
MiMo-V2-Flash (Feb 2026)
K2 Think V2
Mi:dm K 2.5 Pro
GLM-5- Qwen3.5 397B A17B
Frequently Asked Questions
Common questions about Qwen2.5 Coder Instruct 7B
Qwen2.5 Coder Instruct 7B was released on September 19, 2024.
Qwen2.5 Coder Instruct 7B was created by Alibaba.
Qwen2.5 Coder Instruct 7B scores 10 (estimated) on the Artificial Analysis Intelligence Index, placing it at the lower end among other open weight non-reasoning models of similar size (median: 12).
When evaluated on the Intelligence Index, Qwen2.5 Coder Instruct 7B generated 1.2M output tokens, which is very competitive compared to other open weight non-reasoning models of similar size (median: 5.6M).
No, Qwen2.5 Coder Instruct 7B is not a reasoning model. It provides direct responses without extended chain-of-thought reasoning.
Qwen2.5 Coder Instruct 7B supports text only input.
Qwen2.5 Coder Instruct 7B supports text only output.
No, Qwen2.5 Coder Instruct 7B does not support image input. It can only process text.
No, Qwen2.5 Coder Instruct 7B is not multimodal. It only supports text only input.
Qwen2.5 Coder Instruct 7B has a context window of 130k tokens. This determines how much text and conversation history the model can process in a single request.
Yes, Qwen2.5 Coder Instruct 7B is open weights. The model weights are publicly available and can be downloaded for self-hosting.
Qwen2.5 Coder Instruct 7B has 7.62 billion parameters.
Qwen2.5 Coder Instruct 7B is released under the Apache 2.0 license. This license allows commercial use. View license
Qwen2.5 Coder Instruct 7B achieves a score of 10 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
Qwen2.5 Coder Instruct 7B is an open weights model that can be self-hosted. View providers
Qwen2.5 Coder Instruct 7B is an open weights model that can be downloaded and self-hosted. Compare providers