Compare

O3 vs Qwen3.8-27b

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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O3
openai/o3
Qwen3.8-27b
qwen/qwen3.8-27b
Provider
OpenAI
Alibaba Qwen
Family
o-series
Qwen
Modality
text
text
Context window
200,000 tok
262,144 tok
Max output
100,000 tok
32,768 tok
Released
2026-05-22
2026-08-17
License
Open-weight
Open-weight
Input price
$2.00 /1M
$0.450 /1M
Output price
$8.00 /1M
$3.20 /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 →
O3
openai/o3
Full spec →

o3 is OpenAI’s general-purpose reasoning model, balancing strong analytical performance with reasonable latency and cost.

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

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 O3
anthropic/claude-fable-5.1 · openai/o3
Gemini 3.8 Flash vs Qwen3.8-27b
google/gemini-3.8-flash · qwen/qwen3.8-27b
Gemini 3.8 Flash vs O3
google/gemini-3.8-flash · openai/o3
Claude Opus 5 vs Qwen3.8-27b
anthropic/claude-opus-5 · qwen/qwen3.8-27b
Claude Opus 5 vs O3
anthropic/claude-opus-5 · openai/o3
Grok 4.6 vs Qwen3.8-27b
xai/grok-4.6 · qwen/qwen3.8-27b
Grok 4.6 vs O3
xai/grok-4.6 · openai/o3
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-...",
)

# O3
client.chat.completions.create(
    model="openai/o3",
    messages=[{"role":"user","content":"hello"}],
)

# Qwen3.8-27b
client.chat.completions.create(
    model="qwen/qwen3.8-27b",
    messages=[{"role":"user","content":"hello"}],
)
Get an AIgateway keyRun an eval on these →