Compare

Qwen3.8-27b vs Qwen2.5-Coder-32b-Instruct

Pricing per million tokens, context window, capabilities — pulled from each provider's public docs. All 2 are available via the same AIgateway OpenAI-compatible endpoint; flip the model string to switch.

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Qwen3.8-27b
qwen/qwen3.8-27b
Qwen2.5-Coder-32b-Instruct
qwen/qwen2.5-coder-32b-instruct
Provider
Alibaba Qwen
Alibaba Qwen
Family
Qwen
Qwen
Modality
text
text
Context window
262,144 tok
32,768 tok
Max output
32,768 tok
32,768 tok
Released
2026-08-17
2025-02-27
License
Open-weight
Open-weight
Input price
$0.450 /1M
$0.660 /1M
Output price
$3.20 /1M
$1.00 /1M
Tools
yes
yes
Streaming
yes
yes
Vision
yes
JSON mode
yes
yes
Reasoning
yes
Prompt caching
Batch API
Try it
Open in playground →
Open in playground →
Qwen3.8-27b
qwen/qwen3.8-27b
Full spec →

Qwen 3.8 27B is a 27-billion-parameter instruction-tuned language model from Alibaba's Qwen family, designed for vision, efficient general-purpose text generation and agentic workloads.

Strengths
  • General-purpose chat
  • Long context
  • Tool use
Use cases
ChatbotsContent generationAgentic workflows
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
Use cases
Code generationRepo-scale Q&ACoding agents

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Claude Opus 5 vs Qwen3.8-27b
anthropic/claude-opus-5 · qwen/qwen3.8-27b
Grok 4.6 vs Qwen3.8-27b
xai/grok-4.6 · qwen/qwen3.8-27b
Glm-5.3 vs Qwen3.8-27b
zai-org/glm-5.3 · qwen/qwen3.8-27b
Kimi K3 vs Qwen3.8-27b
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Qwen3.8 Max vs Qwen3.8-27b
alibaba/qwen3.8-max · qwen/qwen3.8-27b
Qwen3.8-27b vs GPT-5.6 Sol
qwen/qwen3.8-27b · openai/gpt-5.6-sol
Qwen3.8-27b vs Gemini 3.1 Pro
qwen/qwen3.8-27b · google/gemini-3.1-pro
SWITCH BETWEEN THEM

One key, all 2, one line different.

from openai import OpenAI

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

# Qwen3.8-27b
client.chat.completions.create(
    model="qwen/qwen3.8-27b",
    messages=[{"role":"user","content":"hello"}],
)

# Qwen2.5-Coder-32b-Instruct
client.chat.completions.create(
    model="qwen/qwen2.5-coder-32b-instruct",
    messages=[{"role":"user","content":"hello"}],
)
Get an AIgateway keyRun an eval on these →