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Kimi K2.7 Code vs WizardLM 2 8x22B

At a glance
MoonshotAIKimi K2.7 Code

MoonshotAI's coding-focused Kimi model for end-to-end software engineering.

82262K ctx$0.74/$3.50 per M#20/92
MicrosoftWizardLM 2 8x22B

Microsoft's MoE model built on Mixtral 8x22B architecture.

66K ctx$0.62/$0.62 per M
AI Output
All AI outputs

No captured outputs for these models yet.

Benchmarks
See rankings
MoonshotAIKimi K2.7 Code
Reasoning
CodingInsufficient data
AgenticInsufficient data
Sources:Epoch ECI·Epoch AI·OpenRouter· as of 2026-07-10
Capability
CapabilityECI81.8
Reasoning & Knowledge
Graduate Science89.5%Factual Recall39.2%
Math
Math Problems—Competition Math96.4%
MicrosoftWizardLM 2 8x22B
CodingInsufficient data
AgenticInsufficient data
MathInsufficient data
Sources:Epoch AI·OpenRouter· as of 2026-07-10
Cheaper
Capability
Capability—
Reasoning & Knowledge
Graduate Science43.4%Factual Recall—
Math
Math Problems25.7%Competition Math—
Specs
MoonshotAIKimi K2.7 Code
262K
Context
16K
Max output
Jun 2026
Released
MicrosoftWizardLM 2 8x22B
66K
Context
8K
Max output
Apr 2024
Released
Capabilities
MoonshotAIKimi K2.7 Code
Vision
Audio
Reasoning
MicrosoftWizardLM 2 8x22B
Vision
Audio
Reasoning
Pricing
MoonshotAIKimi K2.7 Code
Live pricing, shown before you run
Input$0.74/M tokens
Output$3.50/M tokens
Cache read$0.15/M tokens
MicrosoftWizardLM 2 8x22B
Live pricing, shown before you run
Input$0.62/M tokens
Output$0.62/M tokens
Chat with Kimi K2.7 CodeGo to model
Chat with WizardLM 2 8x22BGo to model
Frequently Asked Questions: Kimi K2.7 Code vs WizardLM 2 8x22B▼

Which is better, Kimi K2.7 Code or WizardLM 2 8x22B?

▼

Both Kimi K2.7 Code and WizardLM 2 8x22B 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, Kimi K2.7 Code or WizardLM 2 8x22B?

▼

WizardLM 2 8x22B has a lower blended cost. Kimi K2.7 Code: $0.74 input / $3.50 output. WizardLM 2 8x22B: $0.62 input / $0.62 output.

Which has a larger context window, Kimi K2.7 Code or WizardLM 2 8x22B?

▼

Kimi K2.7 Code has a larger context window: Kimi K2.7 Code supports 262K tokens vs WizardLM 2 8x22B at 66K tokens.

Do both Kimi K2.7 Code and WizardLM 2 8x22B support vision?

▼

Kimi K2.7 Code supports vision/image input, but WizardLM 2 8x22B does not.

What are the key differences between Kimi K2.7 Code and WizardLM 2 8x22B?

▼

Key differences: only Kimi K2.7 Code supports vision input; only Kimi K2.7 Code 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 Kimi K2.7 Code and WizardLM 2 8x22B for free on idapt.app to see which performs better for your specific needs.

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