Compare

Gemini 3.1 Pro vs Qwen 3.5 397B A17B

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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Gemini 3.1 Pro
google/gemini-3.1-pro
Qwen 3.5 397B A17B
alibaba/qwen3.5-397b-a17b
Provider
Google
Alibaba
Family
Gemini 3
Qwen
Modality
text
text
Context window
1,000,000 tok
262,144 tok
Max output
65,536 tok
4,096 tok
Released
2026-05-22
2026-05-22
License
Proprietary
Open-weight
Input price
$2.00 /1M
$0.600 /1M
Output price
$12.00 /1M
$3.60 /1M
Cache read
$0.200 /1M
Tools
yes
yes
Streaming
yes
yes
Vision
yes
JSON mode
yes
yes
Reasoning
yes
yes
Prompt caching
yes
Batch API
Try it
Open in playground →
Open in playground →
Gemini 3.1 Pro
google/gemini-3.1-pro
Full spec →

Google's most intelligent Gemini model with improved reasoning, a medium thinking level, and a 1M token context window.

Strengths
  • 2M-token context
  • Native video + audio input
  • Cheapest long-context reasoning
Use cases
Video understandingVery long-document RAGCodebase-scale reasoning
Qwen 3.5 397B A17B
alibaba/qwen3.5-397b-a17b
Full spec →

Alibaba's Qwen 3.5 is a 397B-parameter mixture-of-experts model with 17B active parameters, offering strong reasoning capabilities with efficient inference.

Strengths
  • MoE efficiency: 17B active of 397B
  • Strong reasoning at low cost
  • 262k context
Use cases
Production chatMulti-lingualCost-sensitive reasoning

Benchmarks

Gemini 3.1 Pro
Qwen 3.5 397B A17B
Long-Context
94.2
MMLU
89.6

Source: each provider's published benchmarks. Higher is better. Run an eval to compare on your own data.

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Gemini 3.1 Pro vs Kimi-K2.6
google/gemini-3.1-pro · moonshot/kimi-k2.6
Claude Fable 5 vs Gemini 3.1 Pro
anthropic/claude-fable-5 · google/gemini-3.1-pro
Claude Fable 5 vs Qwen 3.5 397B A17B
anthropic/claude-fable-5 · alibaba/qwen3.5-397b-a17b
DeepSeek V4 Pro vs Gemini 3.1 Pro
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DeepSeek V4 Pro vs Qwen 3.5 397B A17B
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Claude Opus 4.8 vs Gemini 3.1 Pro
anthropic/claude-opus-4.8 · 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-...",
)

# Gemini 3.1 Pro
client.chat.completions.create(
    model="google/gemini-3.1-pro",
    messages=[{"role":"user","content":"hello"}],
)

# Qwen 3.5 397B A17B
client.chat.completions.create(
    model="alibaba/qwen3.5-397b-a17b",
    messages=[{"role":"user","content":"hello"}],
)
Get an AIgateway keyRun an eval on these →