Skip to main content
idapt
HomeAI ModelsPricing
Sign inStart free
  • Home
  • Pricing
  • AI Models
  • Image models
  • Voice models
  • Video models
  • Rankings
  • New models
  • Model status
  • Multi-Model Chat
  • Voice Mode
  • Voice HUD
  • Web Search
  • Image Generation
  • Video Generation
  • Audio Generation
  • Transcription
  • Drive
  • Secrets
  • Sharing
  • Workspaces
  • Tasks
  • Memory
  • Agents
  • Subagents
  • Automations
  • Skills
  • Code Execution
  • Computers
  • Computer Use
  • Computer Assist · Soon
  • Cloud Computers
  • Local AI
  • AI Gateway
  • API & SDK
  • CLI
  • MCP
  • Tunnels
  • All features →
  • LLM cost calculator
  • Token counter
  • Context window checker
  • Can I run it
  • Model picker quiz
  • Savings finder
  • Video cost estimator
  • Text to speech cost
  • Transcription cost
  • API endpoint tester
  • All free tools →
  • Blog
  • Use cases
  • Comparisons
  • Best of
  • Learn
  • Prompts
  • Templates
  • Changelog
  • Help center
  • FAQ
  • Privacy
  • Compare all models
  • Support
  • Developers
  • Quickstarts
  • API reference
  • API pricing
  • CLI
  • MCP
  • Downloads
  • Desktop
  • Badges and embeds
© idapt[email protected]TermsPrivacy PolicyLegal noticeReport content
X (Twitter)

Gemini 3.6 Flash vs Qwen3 Coder Next

At a glance

Google's high-efficiency model for coding, agentic workflows, and web and app development.

1.0M ctx$1.50/$7.50 per M

Efficient coding agent with 80B parameters, only 3B active per token.

262K ctx$0.11/$0.80 per M
Agent Demos
All agent demos

No shared agent demos for these models yet.

AI Output
All AI outputs

No captured outputs for these models yet.

Benchmarks
See rankings
Reasoning
CodingInsufficient data
ReasoningInsufficient data
MathInsufficient data
Sources:Provider·OpenRouter· as of 2026-07-21
Agentic
Terminal Tasks78.0%
No benchmarks available

This model hasn't been benchmarked yet.

Specs
1.0M
Context
66K
Max output
Jul 2026
Released
262K
Context
128K
Max output
Feb 2026
Released
Capabilities
Vision
Audio
Reasoning
Vision
Audio
Reasoning
Pricing
Live pricing, shown before you run
Input$1.50/M tokens
Output$7.50/M tokens
Reasoning$7.50/M tokens
Cache read$0.15/M tokens
Cache write$0.08/M tokens
Image input$1.50/M tokens
Audio input$1.50/M tokens
Web search$0.01/search
Live pricing, shown before you run
Input93%$0.11/M tokens
Output89%$0.80/M tokens
Cache read53%$0.07/M tokens
Chat with Gemini 3.6 FlashGo to model
Chat with Qwen3 Coder NextGo to model
Frequently Asked Questions: Gemini 3.6 Flash vs Qwen3 Coder Next▼

Which is better, Gemini 3.6 Flash or Qwen3 Coder Next?

▼

Both Gemini 3.6 Flash and Qwen3 Coder Next are capable AI models. The best choice depends on your specific use case: consider pricing, context window, speed, and which capabilities (vision, reasoning, audio) you need.

Which is cheaper, Gemini 3.6 Flash or Qwen3 Coder Next?

▼

Qwen3 Coder Next has a lower blended cost. Gemini 3.6 Flash: $1.50 input / $7.50 output. Qwen3 Coder Next: $0.11 input / $0.80 output.

Which has a larger context window, Gemini 3.6 Flash or Qwen3 Coder Next?

▼

Gemini 3.6 Flash has a larger context window: Gemini 3.6 Flash supports 1M tokens vs Qwen3 Coder Next at 262K tokens.

Do both Gemini 3.6 Flash and Qwen3 Coder Next support vision?

▼

Gemini 3.6 Flash supports vision/image input, but Qwen3 Coder Next does not.

What are the key differences between Gemini 3.6 Flash and Qwen3 Coder Next?

▼

Key differences: Qwen3 Coder Next is significantly cheaper; only Gemini 3.6 Flash supports vision input; only Gemini 3.6 Flash offers extended reasoning mode. Compare full specs on this page.

Which model should I choose for my use case?

▼

If cost is your priority, choose the cheaper option. If you need the highest intelligence for complex tasks, pick the higher-scoring model. For long documents or codebases, choose the larger context window. You can try both Gemini 3.6 Flash and Qwen3 Coder Next for free on idapt.app to see which performs better for your specific needs.

Open in App