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Gemini 3.7 Flash vs Qwen3.6 Plus

Published LiveBench scores across all seven categories, live list pricing, context windows, and the measured cost of a point of capability — for both models, side by side.

OpenRouter + LiveBenchAll comparisonsFull leaderboard

Gemini 3.7 Flash is the better model, at roughly the same price.

Gemini 3.7 Flash leads by 9.9 points overall and the two list within about 10% of each other, so the cheaper-but-weaker trade-off does not apply. Price parity plus a score gap usually makes this an easy call. Gemini 3.7 Flash also leads on measured cost per point of capability, at $0.0875 per point.

google

Gemini 3.7 Flash

Blended / 1M
$0.750
Context
1.0M
Released
Aug 13, 2026
Overall score
78.8
reasoningtool callingimage inputvideo inputfile inputaudio inputprompt caching

qwen

Qwen3.6 Plus

Blended / 1M
$0.731
Context
1M
Released
Apr 2, 2026
Overall score
68.9
reasoningtool callingimage inputvideo input

Specs and pricing

MetricGemini 3.7 FlashQwen3.6 Plus
LiveBench overall

Mean of the seven LiveBench category scores, 0–100. Higher is better.

78.8win68.9
Cost per point

Measured benchmark spend divided by overall score — dollars per point of capability.

$0.0875win$0.1262
Blended price / 1M

3:1 input:output mix, the usual shape of production traffic.

$0.750$0.731
Input price / 1M$0.375$0.325win
Output price / 1M$1.88$1.95
Cached input / 1M

Price of an input token served from the prompt cache, where the provider publishes one.

$0.037
Context window1.0M1M
Max output tokens66K66K

Benchmarks by category

An overall score averages away the thing you probably care about. These are the seven LiveBench categories scored separately — Gemini 3.7 Flash on top, Qwen3.6 Plus below, both out of 100.

Agentic coding
58.3
41.4
Codingtoo close to call
78.9
78.2
Reasoning
87.8
75.8
Mathematics
93.5
83.7
Data analysis
68.0
69.9
Language
85.5
75.0
Instruction following
79.9
58.3

What each one costs to run

Per-token prices are hard to feel. These are monthly list costs for both models across five workload shapes, using each provider's published cached-input rate where there is one.

WorkloadGemini 3.7 FlashQwen3.6 Plus
Support chatbot

1.2K in / 400 out × 200K requests

$215.70/mo$234.00/mo
RAG assistant

8K in / 600 out × 100K requests

$277.50/mo$377.00/mo
Coding agent

40K in / 4K out × 20K requests

$261.00/mo$416.00/mo
Document extraction

20K in / 1.5K out × 50K requests

$498.75/mo$471.25/mo
Bulk classification

500 in / 20 out × 5M requests

$956.25/mo$1007.50/mo
Run these two through the cost calculator

Which should you pick?

You are running this at volume

Gemini 3.7 Flash

Lowest measured cost per point of capability at $0.0875 per point — the gap compounds with every request.

Quality matters more than the bill

Gemini 3.7 Flash

Highest overall LiveBench score of the two at 78.8.

The workload is coding or agentic work

Gemini 3.7 Flash

Leads on agentic coding — 58.3 against 41.4.

Gemini 3.7 Flash vs Qwen3.6 Plus FAQ

Which is better, Gemini 3.7 Flash or Qwen3.6 Plus?

Gemini 3.7 Flash is the better model, at roughly the same price. Gemini 3.7 Flash leads by 9.9 points overall and the two list within about 10% of each other, so the cheaper-but-weaker trade-off does not apply. Price parity plus a score gap usually makes this an easy call. Gemini 3.7 Flash also leads on measured cost per point of capability, at $0.0875 per point.

Is Gemini 3.7 Flash cheaper than Qwen3.6 Plus?

They cost about the same. Both land near $0.750 per million tokens on a 3:1 input:output blend, so price is unlikely to be the deciding factor between them.

Gemini 3.7 Flash vs Qwen3.6 Plus: which scores higher on benchmarks?

Gemini 3.7 Flash scores 78.8 and Qwen3.6 Plus scores 68.9 overall on LiveBench, the mean of its seven categories. That is a 9.9-point lead for Gemini 3.7 Flash. Category scores differ from the overall figure — a model can lead on reasoning and trail on coding, which the per-category table above breaks out.

Which gives better value for money, Gemini 3.7 Flash or Qwen3.6 Plus?

Gemini 3.7 Flash. Cost per point divides the measured dollars LiveBench spent running the benchmark by the score it earned, so it captures something token pricing misses: a reasoning model can emit many times more tokens than its per-token rate suggests. Gemini 3.7 Flash works out at $0.0875 per point and Qwen3.6 Plus at $0.1262.

Does Gemini 3.7 Flash or Qwen3.6 Plus have a bigger context window?

They are effectively the same — 1.0M for Gemini 3.7 Flash and 1M for Qwen3.6 Plus.

Do Gemini 3.7 Flash and Qwen3.6 Plus support prompt caching?

Gemini 3.7 Flash publishes a cached-input rate of $0.037 per million tokens against a full input rate of $0.375. The catalogue lists no separate cached rate for Qwen3.6 Plus, which means the provider does not price it separately here — not that caching is unavailable.

Related comparisons

How these numbers are produced

  • Price — provider list price from OpenRouter, refreshed every 15 minutes. “Blended” is a 3:1 input:output mix.
  • ScoresLiveBench release 2026-06-25, using their own category map. Each model shows its strongest published run. A blank means “not evaluated”, never “bad”.
  • Cost per point — the measured dollars LiveBench spent on the run, divided by the score it earned.
  • “Win” — awarded only past a threshold: one full point on a benchmark score, 10% on a price, 25% on a context window. Anything tighter reports as a tie, because effort settings alone move a LiveBench score by more than that.

Published benchmarks rank models on someone else's tasks. Before committing, see LLM & agent evaluation for building an eval on your own.