Compare

Qwen3.8-27b vs Grok 4.6

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
Grok 4.6
xai/grok-4.6
Provider
Alibaba Qwen
xAI
Family
Qwen
Grok 4
Modality
text
text
Context window
262,144 tok
500,000 tok
Max output
32,768 tok
32,768 tok
Released
2026-08-17
2026-08-12
License
Open-weight
Proprietary
Input price
$0.450 /1M
$2.00 /1M
Output price
$3.20 /1M
$6.00 /1M
Tools
yes
Streaming
yes
yes
Vision
yes
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
Grok 4.6
xai/grok-4.6
Full spec →

xAI's Grok 4.6, a flagship reasoning model for coding, agentic tasks, and visual work. Accepts text and image inputs, and supports function calling and structured outputs.

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

Compare with another

Grok 4.6 vs Claude Opus 4.7
xai/grok-4.6 · anthropic/claude-opus-4.7
Grok 4.6 vs GPT-5.4
xai/grok-4.6 · openai/gpt-5.4
Claude Fable 5.1 vs Grok 4.6
anthropic/claude-fable-5.1 · xai/grok-4.6
Claude Fable 5.1 vs Qwen3.8-27b
anthropic/claude-fable-5.1 · qwen/qwen3.8-27b
Gemini 3.8 Flash vs Grok 4.6
google/gemini-3.8-flash · xai/grok-4.6
Gemini 3.8 Flash vs Qwen3.8-27b
google/gemini-3.8-flash · qwen/qwen3.8-27b
Claude Opus 5 vs Grok 4.6
anthropic/claude-opus-5 · xai/grok-4.6
Claude Opus 5 vs Qwen3.8-27b
anthropic/claude-opus-5 · qwen/qwen3.8-27b
Grok 4.6 vs Glm-5.3
xai/grok-4.6 · zai-org/glm-5.3
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"}],
)

# Grok 4.6
client.chat.completions.create(
    model="xai/grok-4.6",
    messages=[{"role":"user","content":"hello"}],
)
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