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Gemini 3.7 Flash vs Qwen3-Coder

Comparing Gemini 3.7 Flash and Qwen3-Coder across benchmarks, pricing, and capabilities.

Google · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Gemini 3.7 Flash and Qwen3-Coder trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

On price, Qwen3-Coder is roughly 8.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 3.7 Flash also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Based on current benchmark, pricing, and model metadata for 2026.

Choose Gemini 3.7 Flash

  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Aug 2026

Choose Qwen3-Coder

  • cost matters — it's about 8.3x cheaper per token
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Benchmark wins
Input price
$0.75 / M
$0.18 / M
Output price
$3.75 / M
$0.18 / M
Context window
1,048,576
256,000
Released
Aug 2026
Jan 2025
License
Proprietary
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemini 3.7 Flash and Qwen3-Coderdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

Pricing Analysis

Price comparison per million tokens

Qwen3-Coder costs less

For input processing, Gemini 3.7 Flash ($0.75/1M tokens) is 4.2x more expensive than Qwen3-Coder ($0.18/1M tokens).

For output processing, Gemini 3.7 Flash ($3.75/1M tokens) is 20.8x more expensive than Qwen3-Coder ($0.18/1M tokens).

In conclusion, Gemini 3.7 Flash is more expensive than Qwen3-Coder.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Wed Aug 26 2026 • llm-stats.com
Google
Gemini 3.7 Flash
Input tokens$0.75
Output tokens$3.75
Best providerGoogle
Alibaba Cloud / Qwen Team
Qwen3-Coder
Input tokens$0.18
Output tokens$0.18
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

Gemini 3.7 Flash accepts 1,048,576 input tokens compared to Qwen3-Coder's 256,000 tokens. Qwen3-Coder can generate longer responses up to 256,000 tokens, while Gemini 3.7 Flash is limited to 65,536 tokens.

Google
Gemini 3.7 Flash
Input1,048,576 tokens
Output65,536 tokens
Alibaba Cloud / Qwen Team
Qwen3-Coder
Input256,000 tokens
Output256,000 tokens
Wed Aug 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 3.7 Flash supports multimodal inputs, whereas Qwen3-Coder does not.

Gemini 3.7 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 3.7 Flash

Text
Images
Audio
Video

Qwen3-Coder

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.7 Flash is licensed under a proprietary license, while Qwen3-Coder uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Gemini 3.7 Flash

Proprietary

Closed source

Qwen3-Coder

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 3.7 Flash was released on 2026-08-13, while Qwen3-Coder was released on 2025-01-01.

Gemini 3.7 Flash is 20 months newer than Qwen3-Coder.

Gemini 3.7 Flash

Aug 13, 2026

1 weeks ago

1.6yr newer
Qwen3-Coder

Jan 1, 2025

1.6 years ago

Knowledge Cutoff

When training data ends

Gemini 3.7 Flash has a documented knowledge cutoff of 2026-03-31, while Qwen3-Coder's cutoff date is not specified.

We can confirm Gemini 3.7 Flash's training data extends to 2026-03-31, but cannot make a direct comparison without Qwen3-Coder's cutoff date.

Gemini 3.7 Flash

Mar 2026

Qwen3-Coder

Provider Availability

Gemini 3.7 Flash is available from Google. Qwen3-Coder is available from DeepInfra, Fireworks.

Gemini 3.7 Flash

google logo
Google
Input Price:Input: $0.75/1MOutput Price:Output: $3.75/1M

Qwen3-Coder

deepinfra logo
Deepinfra
Input Price:Input: $0.18/1MOutput Price:Output: $0.18/1M
fireworks logo
Fireworks
Input Price:Input: $0.25/1MOutput Price:Output: $0.25/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Gemini 3.7 Flash and Qwen3-Coder side-by-side, then vote on the output you prefer.

Gemini 3.7 Flash
✓ Preferred
Qwen3-Coder
Open in Playground

FAQ

Common questions about Gemini 3.7 Flash vs Qwen3-Coder.

Which is better, Gemini 3.7 Flash or Qwen3-Coder?

Gemini 3.7 Flash (Google) and Qwen3-Coder (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Gemini 3.7 Flash compare to Qwen3-Coder in benchmarks?

Gemini 3.7 Flash scores MRCR v2 (8-needle): 97.0%, Harvey LAB-AA: 90.7%, CharXiv-R: 88.7%, Terminal-Bench 2.1: 85.8%, LVBench: 85.4%.

Is Gemini 3.7 Flash cheaper than Qwen3-Coder?

Qwen3-Coder is 4.2x cheaper for input tokens. Gemini 3.7 Flash costs $0.75/M input and $3.75/M output via google. Qwen3-Coder costs $0.18/M input and $0.18/M output via deepinfra.

What are the context window sizes for Gemini 3.7 Flash and Qwen3-Coder?

Gemini 3.7 Flash supports 1.0M tokens and Qwen3-Coder supports 256K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 3.7 Flash and Qwen3-Coder?

Key differences include context window (1.0M vs 256K), input pricing ($0.75 vs $0.18/M), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.7 Flash and Qwen3-Coder?

Gemini 3.7 Flash is developed by Google and Qwen3-Coder is developed by Alibaba Cloud / Qwen Team.