Model Comparison

Gemini 3.1 Flash-Lite
vs. Qwen3.7 Max

Comparing 2 AI models · 7 benchmarks · Google, Alibaba

Recommended Pick

Alibaba logo Qwen3.7 Max 11 metric wins

Strongest on: TTFT, Reasoning, Intelligence

Best Value

Google logo

Gemini 3.1 Flash-Lite

100.0 value score

44.0 reasoning / $0.56/1M

Lowest Price

Google logo

Gemini 3.1 Flash-Lite

$0.25/1M input price

Best Reasoning

Alibaba logo

Qwen3.7 Max

62.3 reasoning score

Blends available reasoning benchmarks

Best for Coding

Alibaba logo

Qwen3.7 Max

50.1 coding index

Composite Indices

Higher is better; speed and price are normalized

Standard Benchmarks

Only benchmarks with data are shown

Differences That Matter

Best value

Gemini 3.1 Flash-Lite has the strongest quality-to-price mix at 100.0 out of 100 value points.

Price gap

Gemini 3.1 Flash-Lite is 10x cheaper on input tokens than Qwen3.7 Max.

Speed gap

Gemini 3.1 Flash-Lite generates about 3.1x as many tokens per second as Qwen3.7 Max.

Reasoning gap

Qwen3.7 Max leads Gemini 3.1 Flash-Lite by 18.4 points on reasoning.

Coding gap

Qwen3.7 Max leads Gemini 3.1 Flash-Lite by 20.0 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.

Google logo

Gemini 3.1 Flash-Lite

Google

Waiting

TTFT

Time

tok/s

Tokens

Cost

Waiting
Alibaba logo

Qwen3.7 Max

Alibaba

Waiting

TTFT

Time

tok/s

Tokens

Cost

Waiting

Which answer was more useful?

AI Chat

Chat with 80+ models

Inference API

EU-hosted inference

Full Comparison

Metric
Google logo Gemini 3.1 Flash-Lite
Google
Top Pick
Alibaba logo Qwen3.7 Max
Alibaba
Pricing per 1M tokens
Input Cost $0.25/1M$2.50/1M
Output Cost $1.50/1M$7.50/1M
Blended (3:1) $0.56/1M$3.75/1M
Specifications
Organization GoogleAlibaba
Release Date Mar 3, 2026May 19, 2026
Performance & Speed
Throughput 317.8 tok/s104.1 tok/s
TTFT 5261ms1719ms
Latency 5261ms24867ms
Composite Indices
Value Score 100.021.3
Reasoning Score 44.062.3
Intelligence 33.556.6
Coding 30.150.1
Standard Benchmarks
GPQA 82.2%92.3%
HLE 16.2%38.1%
SciCode 41.9%48.8%
LCR 65.3%69.0%
IFBench 77.2%80.5%
TAU-bench v2 31.3%94.7%
TerminalBench Hard 24.2%50.8%

Key Takeaways

Gemini 3.1 Flash-Lite offers the best value at $0.25/1M, making it ideal for high-volume applications and cost-conscious projects.

Qwen3.7 Max has the strongest reasoning profile with a 62.3 reasoning score, combining the available reasoning-heavy benchmarks.

Qwen3.7 Max reaches a 50.1 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 3.1 Flash-Lite

  • Cost-sensitive applications
  • High-volume processing
Alibaba logo

Qwen3.7 Max

  • Complex reasoning tasks
  • Research & analysis
  • Code generation
  • Software development