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Claude Haiku 4.5 vs Llama 3.3 70B

At a glance

Fast and efficient with near-frontier intelligence.

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

Meta's efficient 70B model matching Llama 3.1 405B on key benchmarks.

61131K ctx$0.13/$0.40 per M#68/92
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
Smarter23%
Capability
CapabilityECI23%75.3
Reasoning & Knowledge
Graduate Science27%60.5%
Math
Math Problems109%86.9%Competition Math597%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
Cheaper90%
Capability
CapabilityECI61.4
Reasoning & Knowledge
Graduate Science47.4%
Math
Math Problems41.6%Competition Math5.1%Research Math—
Agentic
Terminal Tasks—Novel Reasoning—
Specs
200K
Context
64K
Max output
Oct 2025
Released
131K
Context
66K
Max output
Dec 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
Input87%$0.13/M tokens
Output92%$0.40/M tokens
Chat with Claude Haiku 4.5Go to model
Chat with Llama 3.3 70BGo to model
Frequently Asked Questions: Claude Haiku 4.5 vs Llama 3.3 70B▼

Which is better, Claude Haiku 4.5 or Llama 3.3 70B?

▼

Based on the Capability Index, Claude Haiku 4.5 scores higher (75.3 vs 61.4). 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 3.3 70B?

▼

Llama 3.3 70B has a lower blended cost. Claude Haiku 4.5: $1.00 input / $5.00 output. Llama 3.3 70B: $0.13 input / $0.40 output.

Which has a larger context window, Claude Haiku 4.5 or Llama 3.3 70B?

▼

Claude Haiku 4.5 has a larger context window: Claude Haiku 4.5 supports 200K tokens vs Llama 3.3 70B at 131K tokens.

Do both Claude Haiku 4.5 and Llama 3.3 70B support vision?

▼

Claude Haiku 4.5 supports vision/image input, but Llama 3.3 70B does not.

What are the key differences between Claude Haiku 4.5 and Llama 3.3 70B?

▼

Key differences: Claude Haiku 4.5 has a notably higher capability index (13.9 point gap); Llama 3.3 70B 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 3.3 70B for free on idapt.app to see which performs better for your specific needs.

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