Compare

Qwen3.8-27b vs MiniMax M3

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
MiniMax M3
minimax/m3
Provider
Alibaba Qwen
MiniMax
Family
Qwen
MiniMax M
Modality
text
text
Context window
262,144 tok
1,000,000 tok
Max output
32,768 tok
4,096 tok
Released
2026-08-17
2026-06-01
License
Open-weight
Open-weight
Input price
$0.450 /1M
$0.300 /1M
Output price
$3.20 /1M
$1.20 /1M
Tools
yes
Streaming
yes
yes
Vision
yes
JSON mode
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
MiniMax M3
minimax/m3
Full spec →

MiniMax's M3 language model with frontier coding and agentic capabilities, a 1M token context window, and multilingual support.

Strengths
  • General-purpose chat
  • Long context
  • Tool use
Use cases
ChatbotsContent generationAgentic workflows

Compare with another

Claude Fable 5.1 vs Qwen3.8-27b
anthropic/claude-fable-5.1 · qwen/qwen3.8-27b
Claude Fable 5.1 vs MiniMax M3
anthropic/claude-fable-5.1 · minimax/m3
Gemini 3.8 Flash vs Qwen3.8-27b
google/gemini-3.8-flash · qwen/qwen3.8-27b
Gemini 3.8 Flash vs MiniMax M3
google/gemini-3.8-flash · minimax/m3
Claude Opus 5 vs Qwen3.8-27b
anthropic/claude-opus-5 · qwen/qwen3.8-27b
Claude Opus 5 vs MiniMax M3
anthropic/claude-opus-5 · minimax/m3
Grok 4.6 vs Qwen3.8-27b
xai/grok-4.6 · qwen/qwen3.8-27b
Grok 4.6 vs MiniMax M3
xai/grok-4.6 · minimax/m3
Glm-5.3 vs Qwen3.8-27b
zai-org/glm-5.3 · qwen/qwen3.8-27b
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"}],
)

# MiniMax M3
client.chat.completions.create(
    model="minimax/m3",
    messages=[{"role":"user","content":"hello"}],
)
Get an AIgateway keyRun an eval on these →