Skip to main content
idapt
HomeCodeAI 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
  • Credentials
  • Sharing
  • Workspaces
  • Tasks
  • Memory
  • Agents
  • Subagents
  • Automations
  • Skills
  • idapt Code
  • Code Execution
  • Computers
  • Computer Use
  • Computer Assist · Soon
  • Containers · 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
  • Skills
  • Learn
  • Changelog
  • Help center
  • FAQ
  • Privacy
  • Compare all models
  • Support
  • idapt Code
  • Developers
  • Quickstarts
  • API reference
  • API pricing
  • CLI
  • MCP
  • Downloads
  • Desktop
  • Badges and embeds
© idapt[email protected]TermsPrivacy PolicyLegal noticeReport content
X (Twitter)

Mixtral 8x22B vs Grok 4.5

At a glance

Mistral's large MoE model with 8 expert groups and 22B each.

66K ctx$2.00/$6.00 per M

xAI's Opus-class flagship for frontier coding, agentic tool use, and knowledge work.

89500K ctx$2.00/$6.00 per M#6/92
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
No benchmarks available

This model hasn't been benchmarked yet.

Reasoning
CI 86.2-90.3
CodingInsufficient data
Sources:Epoch ECI·Epoch AI·Provider·OpenRouter· as of 2026-07-10
Capability
CapabilityECI88.5
Reasoning & Knowledge
Graduate Science93.4%Factual Recall53.5%
Math
Competition Math97.8%
Agentic
Terminal Tasks83.3%
Specs
66K
Context
16K
Max output
Apr 2024
Released
500K
Context
16K
Max output
Jul 2026
Released
Capabilities
Vision
Audio
Reasoning
Vision
Audio
Reasoning
Pricing
Live pricing, shown before you run
Input$2.00/M tokens
Output$6.00/M tokens
Cache read33%$0.20/M tokens
Live pricing, shown before you run
Input$2.00/M tokens
Output$6.00/M tokens
Cache read$0.30/M tokens
Web search$0.005/search
Chat with Mixtral 8x22BGo to model
Chat with Grok 4.5Go to model
Frequently Asked Questions: Mixtral 8x22B vs Grok 4.5▼

Which is better, Mixtral 8x22B or Grok 4.5?

▼

Both Mixtral 8x22B and Grok 4.5 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, Mixtral 8x22B or Grok 4.5?

▼

Mixtral 8x22B has a lower blended cost. Mixtral 8x22B: $2.00 input / $6.00 output. Grok 4.5: $2.00 input / $6.00 output.

Which has a larger context window, Mixtral 8x22B or Grok 4.5?

▼

Grok 4.5 has a larger context window: Mixtral 8x22B supports 66K tokens vs Grok 4.5 at 500K tokens.

Do both Mixtral 8x22B and Grok 4.5 support vision?

▼

Grok 4.5 supports vision/image input, but Mixtral 8x22B does not.

What are the key differences between Mixtral 8x22B and Grok 4.5?

▼

Key differences: only Grok 4.5 supports vision input; only Grok 4.5 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 Mixtral 8x22B and Grok 4.5 for free on idapt.app to see which performs better for your specific needs.

Open in App