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)

Inkling vs Qwen3 Coder Next

At a glance

Thinking Machines Lab's open-weight multimodal model with 41B active parameters out of 975B total.

524K ctx$1.00/$4.05 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
Sources:Provider·OpenRouter· as of 2026-07-15
Reasoning & Knowledge
Graduate Science87.2%Expert-Level29.7%Factual Recall43.9%
Math
Competition Math97.1%
Coding
Real-World Coding77.6%
Agentic
Terminal Tasks63.8%
No benchmarks available

This model hasn't been benchmarked yet.

Specs
524K
Context
16K
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$1.00/M tokens
Output$4.05/M tokens
Cache read$0.17/M tokens
Live pricing, shown before you run
Input89%$0.11/M tokens
Output80%$0.80/M tokens
Cache read59%$0.07/M tokens
Chat with InklingGo to model
Chat with Qwen3 Coder NextGo to model
Frequently Asked Questions: Inkling vs Qwen3 Coder Next▼

Which is better, Inkling or Qwen3 Coder Next?

▼

Both Inkling 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, Inkling or Qwen3 Coder Next?

▼

Qwen3 Coder Next has a lower blended cost. Inkling: $1.00 input / $4.05 output. Qwen3 Coder Next: $0.11 input / $0.80 output.

Which has a larger context window, Inkling or Qwen3 Coder Next?

▼

Inkling has a larger context window: Inkling supports 524K tokens vs Qwen3 Coder Next at 262K tokens.

Do both Inkling and Qwen3 Coder Next support vision?

▼

Inkling supports vision/image input, but Qwen3 Coder Next does not.

What are the key differences between Inkling and Qwen3 Coder Next?

▼

Key differences: Qwen3 Coder Next is significantly cheaper; only Inkling supports vision input; only Inkling 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 Inkling and Qwen3 Coder Next for free on idapt.app to see which performs better for your specific needs.

Open in App