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Claude Haiku 4.5 vs Llama 3.1 8B

At a glance

Fast and efficient with near-frontier intelligence.

75200K ctx$1.00/$5.00 per M#41/92

Compact 8B model from Meta's Llama 3.1 series.

50131K ctx$0.05/$0.08 per M#76/92
Demos
All demos

No shared demos for these models yet.

AI Output
All AI outputs

No captured outputs for these models yet.

Benchmarks
See rankings
Reasoning
CodingInsufficient data
Sources:Epoch ECI·Epoch AI·OpenRouter· as of 2026-07-10
Smarter50%
Capability
CapabilityECI50%75.3
Reasoning & Knowledge
Graduate Science133%60.5%
Math
Math Problems280%86.9%Competition Math1333%35.8%Research Math4.1%
Agentic
Terminal Tasks29.8%Novel Reasoning1.3%
CodingInsufficient data
AgenticInsufficient data
Sources:Epoch ECI·Epoch AI·OpenRouter· as of 2026-07-10
Cheaper97%
Capability
CapabilityECI50.3
Reasoning & Knowledge
Graduate Science25.9%
Math
Math Problems22.9%Competition Math2.5%Research Math—
Agentic
Terminal Tasks—Novel Reasoning—
Specs
200K
Context
64K
Max output
Oct 2025
Released
131K
Context
66K
Max output
Jul 2024
Released
Capabilities
Vision
Audio
Reasoning
Vision
Audio
Reasoning
Pricing
Live pricing, shown before you run
Input$1.00/M tokens
Output$5.00/M tokens
Cache read$0.10/M tokens
Cache write$1.25/M tokens
Web search$0.01/search
Live pricing, shown before you run
Input95%$0.05/M tokens
Output98%$0.08/M tokens
Cache read75%$0.02/M tokens
Chat with Claude Haiku 4.5Go to model
Chat with Llama 3.1 8BGo to model
Frequently Asked Questions: Claude Haiku 4.5 vs Llama 3.1 8B▼

Which is better, Claude Haiku 4.5 or Llama 3.1 8B?

▼

Based on the Capability Index, Claude Haiku 4.5 scores higher (75.3 vs 50.3). However, "better" depends on your use case — pricing, speed, context window, and specific capability needs all matter.

Which is cheaper, Claude Haiku 4.5 or Llama 3.1 8B?

▼

Llama 3.1 8B has a lower blended cost. Claude Haiku 4.5: $1.00 input / $5.00 output. Llama 3.1 8B: $0.05 input / $0.08 output.

Which has a larger context window, Claude Haiku 4.5 or Llama 3.1 8B?

▼

Claude Haiku 4.5 has a larger context window: Claude Haiku 4.5 supports 200K tokens vs Llama 3.1 8B at 131K tokens.

Do both Claude Haiku 4.5 and Llama 3.1 8B support vision?

▼

Claude Haiku 4.5 supports vision/image input, but Llama 3.1 8B does not.

What are the key differences between Claude Haiku 4.5 and Llama 3.1 8B?

▼

Key differences: Claude Haiku 4.5 has a notably higher capability index (25.0 point gap); Llama 3.1 8B is significantly cheaper; only Claude Haiku 4.5 supports vision input; only Claude Haiku 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 Claude Haiku 4.5 and Llama 3.1 8B for free on idapt.app to see which performs better for your specific needs.

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