compare/Qwen2.5-Coder-32b-InstructvsQwen1.5-7b-Chat-Awq

Qwen2.5-Coder-32b-Instruct vs Qwen1.5-7b-Chat-Awq

Pricing, context window, capabilities, and release date — pulled from each provider's public docs. Both are available via the same AIgateway OpenAI-compatible endpoint; flip the model string to switch.

RUN BOTH LIVE

Paste a prompt. Watch them race.

Both models stream in parallel through your own AIgateway key. Tokens, latency, and cost update as they arrive.

Sign in to runLive streaming uses your own key. It's free to sign up.
 Qwen2.5-Coder-32b-Instruct
qwen/qwen2.5-coder-32b-instruct
Qwen1.5-7b-Chat-Awq
qwen/qwen1.5-7b-chat-awq
ProviderAlibaba QwenAlibaba Qwen
FamilyQwenQwen
Modalitytexttext
Context window32,768 tok4,096 tok
Max output4,096 tok4,096 tok
Released2025-02-272024-02-05
Input price$0.660 /1M$0.060 /1M
Output price$1.00 /1M$0.120 /1M
Cache read
Toolsyes
Streamingyesyes
Vision
JSON modeyes
Reasoning
Prompt caching
Qwen2.5-Coder-32b-Instruct
qwen/qwen2.5-coder-32b-instruct
Full spec →

Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). As of now, Qwen2.5-Coder has covered six mainstream model sizes, 0.5, 1.5, 3, 7, 14, 32 billion parameters, to meet the needs of different developers. Qwen2.5-Coder brings the following improvements upon CodeQwen1.5:

Strengths
  • Code-tuned
  • Tool calling
  • Multi-lingual code
Qwen1.5-7b-Chat-Awq
qwen/qwen1.5-7b-chat-awq
Full spec →

Qwen1.5 is the improved version of Qwen, the large language model series developed by Alibaba Cloud. AWQ is an efficient, accurate and blazing-fast low-bit weight quantization method, currently supporting 4-bit quantization.

Strengths
  • General-purpose chat
  • Long context
  • Tool use
SWITCH BETWEEN THEM

One key, both models, one line different.

# pip install aigateway-py openai
# aigateway-py: sub-accounts, evals, replays, jobs, webhook verify.
# openai SDK: chat/embeddings/images/audio — drop-in compat per our SDK's own guidance.
from openai import OpenAI

client = OpenAI(
    base_url="https://api.aigateway.sh/v1",
    api_key="sk-aig-...",
)

# Try Qwen2.5-Coder-32b-Instruct
client.chat.completions.create(
    model="qwen/qwen2.5-coder-32b-instruct",
    messages=[{"role":"user","content":"hello"}],
)

# Try Qwen1.5-7b-Chat-Awq — same client, same key
client.chat.completions.create(
    model="qwen/qwen1.5-7b-chat-awq",
    messages=[{"role":"user","content":"hello"}],
)
Get an AIgateway keyAdd a third model

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