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Claude Haiku 4.5 vs Llama 3.3 70B Instruct

Claude Haiku 4.5 leads the LLM Stats Score 25.7 to 13.9. Llama 3.3 70B Instruct is 10.0x cheaper per token.

Anthropic · Meta · Updated for 2026

Which is better?

Claude Haiku 4.5 leads the overall LLM Stats Score 25.7 to 13.9, ranking #146 overall.

In the 1 individual benchmarks reported for both models, Claude Haiku 4.5 wins 1; this is a narrower head-to-head signal than the composite indexes.

On price, Llama 3.3 70B Instruct is roughly 10.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Claude Haiku 4.5 also accepts a larger context window (200,000 input tokens), making it the stronger choice for long documents and large codebases.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Claude Haiku 4.5

  • overall performance matters — it scores 25.7 and ranks #146 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you process long inputs — it offers a 200,000 token context window
  • you want the most recent training data — it shipped Oct 2025

Choose Llama 3.3 70B Instruct

  • cost matters — it's about 10.0x cheaper per token
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Claude Haiku 4.5
Anthropic
Llama 3.3 70B Instruct
Meta
Core performance indexes
LLM Stats Score
25.7
#146
13.9
#231
Reasoning
25.4
#142
11.8
#240
Coding
19.8
#95
9.4
#166
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$1.00 / M
$0.20 / M
Output price
$5.00 / M
$0.20 / M
Context window
200,000
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Claude Haiku 4.5
Llama 3.3 70B Instruct
Math
15.2#208
17.7#185
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

12 reported for Claude Haiku 4.5 · 9 for Llama 3.3 70B Instruct

1 shared

Claude Haiku 4.5 outperforms in 1 benchmarks (GPQA), while Llama 3.3 70B Instruct is better at 0 benchmarks.

Claude Haiku 4.5 significantly outperforms across most benchmarks.

Sun Sep 06 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Llama 3.3 70B Instruct costs less

For input processing, Claude Haiku 4.5 ($1.00/1M tokens) is 5.0x more expensive than Llama 3.3 70B Instruct ($0.20/1M tokens).

For output processing, Claude Haiku 4.5 ($5.00/1M tokens) is 25.0x more expensive than Llama 3.3 70B Instruct ($0.20/1M tokens).

In conclusion, Claude Haiku 4.5 is more expensive than Llama 3.3 70B Instruct.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sun Sep 06 2026 • llm-stats.com
Anthropic
Claude Haiku 4.5
Input tokens$1.00
Output tokens$5.00
Best providerAnthropic
Meta
Llama 3.3 70B Instruct
Input tokens$0.20
Output tokens$0.20
Best providerLambda
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Claude Haiku 4.5 accepts 200,000 input tokens compared to Llama 3.3 70B Instruct's 128,000 tokens. Llama 3.3 70B Instruct can generate longer responses up to 128,000 tokens, while Claude Haiku 4.5 is limited to 64,000 tokens.

Anthropic
Claude Haiku 4.5
Input200,000 tokens
Output64,000 tokens
Meta
Llama 3.3 70B Instruct
Input128,000 tokens
Output128,000 tokens
Sun Sep 06 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Claude Haiku 4.5 supports multimodal inputs, whereas Llama 3.3 70B Instruct does not.

Claude Haiku 4.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Claude Haiku 4.5

Text
Images
Audio
Video

Llama 3.3 70B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Claude Haiku 4.5 is licensed under a proprietary license, while Llama 3.3 70B Instruct uses Llama 3.3 Community License Agreement.

License differences may affect how you can use these models in commercial or open-source projects.

Claude Haiku 4.5

Proprietary

Closed source

Llama 3.3 70B Instruct

Llama 3.3 Community License Agreement

Open weights

Release Timeline

When each model was launched

Claude Haiku 4.5 was released on 2025-10-15, while Llama 3.3 70B Instruct was released on 2024-12-06.

Claude Haiku 4.5 is 10 months newer than Llama 3.3 70B Instruct.

Claude Haiku 4.5

Oct 15, 2025

10 months ago

10mo newer
Llama 3.3 70B Instruct

Dec 6, 2024

1.7 years ago

Knowledge Cutoff

When training data ends

Claude Haiku 4.5 has a documented knowledge cutoff of 2025-02-01, while Llama 3.3 70B Instruct's cutoff date is not specified.

We can confirm Claude Haiku 4.5's training data extends to 2025-02-01, but cannot make a direct comparison without Llama 3.3 70B Instruct's cutoff date.

Claude Haiku 4.5

Feb 2025

Llama 3.3 70B Instruct

—

Provider Availability

Claude Haiku 4.5 is available from Anthropic, Vertex AI. Llama 3.3 70B Instruct is available from Lambda, DeepInfra, Hyperbolic, Groq, Sambanova, Cerebras, Bedrock, Together, Fireworks.

Claude Haiku 4.5

anthropic logo
Anthropic
Input Price:Input: $1.00/1MOutput Price:Output: $5.00/1M
vertex logo
Unknown Organization
Input Price:Input: $1.00/1MOutput Price:Output: $5.00/1M

Llama 3.3 70B Instruct

lambda logo
Lambda
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.23/1MOutput Price:Output: $0.40/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $0.40/1MOutput Price:Output: $0.40/1M
groq logo
Groq
Input Price:Input: $0.59/1MOutput Price:Output: $7.90/1M
sambanova logo
Sambanova
Input Price:Input: $0.60/1MOutput Price:Output: $1.20/1M
cerebras logo
Cerebras
Input Price:Input: $0.70/1MOutput Price:Output: $0.80/1M
bedrock logo
AWS Bedrock
Input Price:Input: $0.72/1MOutput Price:Output: $0.72/1M
together logo
Together
Input Price:Input: $0.88/1MOutput Price:Output: $0.88/1M
fireworks logo
Fireworks
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Claude Haiku 4.5 and Llama 3.3 70B Instruct side-by-side, then vote on the output you prefer.

Claude Haiku 4.5
✓ Preferred
Llama 3.3 70B Instruct
Open in Playground

FAQ

Common questions about Claude Haiku 4.5 vs Llama 3.3 70B Instruct.

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

Claude Haiku 4.5 leads the LLM Stats Score 25.7 to 13.9. Claude Haiku 4.5 is made by Anthropic and Llama 3.3 70B Instruct is made by Meta. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Claude Haiku 4.5 compare to Llama 3.3 70B Instruct in benchmarks?

Claude Haiku 4.5 scores Tau2 Retail: 83.2%, MMMLU: 83.0%, Tau2 Telecom: 83.0%, AIME 2025: 80.7%, SWE-Bench Verified: 73.3%. Llama 3.3 70B Instruct scores IFEval: 92.1%, MGSM: 91.1%, HumanEval: 88.4%, MBPP EvalPlus: 87.6%, MMLU: 86.0%.

Is Claude Haiku 4.5 cheaper than Llama 3.3 70B Instruct?

Llama 3.3 70B Instruct is 5.0x cheaper for input tokens. Claude Haiku 4.5 costs $1.00/M input and $5.00/M output via anthropic. Llama 3.3 70B Instruct costs $0.20/M input and $0.20/M output via lambda.

What are the context window sizes for Claude Haiku 4.5 and Llama 3.3 70B Instruct?

Claude Haiku 4.5 supports 200K tokens and Llama 3.3 70B Instruct supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

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

Key differences include LLM Stats Score (25.7 vs 13.9), context window (200K vs 128K), input pricing ($1.00 vs $0.20/M), multimodal support (yes vs no), licensing (Proprietary vs Llama 3.3 Community License Agreement). See the full comparison above for benchmark-by-benchmark results.

Who makes Claude Haiku 4.5 and Llama 3.3 70B Instruct?

Claude Haiku 4.5 is developed by Anthropic and Llama 3.3 70B Instruct is developed by Meta.

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