Model Comparison

Gemini 3.8 Flash (high)
vs. Qwen3.8 Max

Comparing 2 AI models · 0 benchmarks · Google, Alibaba

Recommended Pick

Google logoGemini 3.8 Flash (high)9 metric wins

Strongest on: Value, Input price, Output price

Best Value

Google logo

Gemini 3.8 Flash (high)

100.0 value score

58.7 reasoning / $1.50/1M

Lowest Price

Google logo

Gemini 3.8 Flash (high)

$0.75/1M input price

Best Reasoning

Google logo

Gemini 3.8 Flash (high)

58.7 reasoning score

Blends available reasoning benchmarks

Best for Coding

Google logo

Gemini 3.8 Flash (high)

76.3 coding index

Differences That Matter

Best value

Gemini 3.8 Flash (high) has the strongest quality-to-price mix at 100.0 out of 100 value points.

Price gap

Gemini 3.8 Flash (high) is 2.7x cheaper on input tokens than Qwen3.8 Max.

Speed gap

Gemini 3.8 Flash (high) generates about 7.8x as many tokens per second as Qwen3.8 Max.

Reasoning gap

Gemini 3.8 Flash (high) leads Qwen3.8 Max by 0.6 points on reasoning.

Coding gap

Gemini 3.8 Flash (high) leads Qwen3.8 Max by 4.5 points on coding.

Live compare

Response Face-Off

Run one prompt through the selected models and compare response quality with live speed and cost context.

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Google logo

Gemini 3.8 Flash (high)

Google

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TTFT

Time

tok/s

Tokens

Cost

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Alibaba logo

Qwen3.8 Max

Alibaba

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TTFT

Time

tok/s

Tokens

Cost

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Full Comparison

Metric
Top Pick
Google logoGemini 3.8 Flash (high)
Google
Alibaba logoQwen3.8 Max
Alibaba
Pricing per 1M tokens
Input Cost$0.75/1M$2.00/1M
Output Cost$3.75/1M$6.00/1M
Blended (3:1)$1.50/1M$3.00/1M
Specifications
OrganizationGoogleAlibaba
Release DateSep 2, 2026Aug 3, 2026
Performance & Speed
Throughput304.6 tok/s39.0 tok/s
TTFT13390ms2500ms
Latency13390ms53790ms
Composite Indices
Value Score100.049.5
Reasoning Score58.758.1
Intelligence58.758.1
Coding76.371.8

Key Takeaways

Gemini 3.8 Flash (high) offers the best value at $0.75/1M,making it ideal for high-volume applications and cost-conscious projects.

Gemini 3.8 Flash (high) has the strongest reasoning profile with a 58.7 reasoning score,combining the available reasoning-heavy benchmarks.

Gemini 3.8 Flash (high) reaches a 76.3 coding index,making it the top choice for software development and code generation tasks.

All models support context windows of ∞+ tokens,suitable for processing lengthy documents and maintaining extended conversations.

When to Choose Each Model

Google logo

Gemini 3.8 Flash (high)

  • Cost-sensitive applications
  • High-volume processing
  • Complex reasoning tasks
  • Research & analysis
  • Code generation
  • Software development
Alibaba logo

Qwen3.8 Max

  • General-purpose AI
  • Versatile applications