Model Comparison

Claude 3.5 Haiku vs Llama 3.1 70B InstructWhich is better in 2026?

Both models are evenly matched across the benchmarks. Llama 3.1 70B Instruct is 8.0x cheaper per token.

Verdict: Claude 3.5 Haiku vs Llama 3.1 70B Instruct — which is better?

Claude 3.5 Haiku (by Anthropic) and Llama 3.1 70B Instruct (by Meta) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Claude 3.5 Haiku outperforms in 2 benchmarks (DROP, HumanEval), while Llama 3.1 70B Instruct is better at 2 benchmarks (GPQA, MMLU-Pro). Both models are evenly matched across the benchmarks.

On price, Llama 3.1 70B Instruct is roughly 8.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Claude 3.5 Haiku also accepts a larger context window (200,000 input tokens), making it the stronger choice for long documents and large codebases.

Choose Claude 3.5 Haiku if…

  • you process long inputs — it offers a 200,000 token context window
  • you want the most recent training data — it shipped Oct 2024

Choose Llama 3.1 70B Instruct if…

  • cost matters — it's about 8.0x cheaper per token
  • you need open weights you can self-host or fine-tune
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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Claude 3.5 Haiku outperforms in 2 benchmarks (DROP, HumanEval), while Llama 3.1 70B Instruct is better at 2 benchmarks (GPQA, MMLU-Pro).

Both models are evenly matched across the benchmarks.

Sat Jun 06 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Llama 3.1 70B Instruct costs less

For input processing, Claude 3.5 Haiku ($0.80/1M tokens) is 4.0x more expensive than Llama 3.1 70B Instruct ($0.20/1M tokens).

For output processing, Claude 3.5 Haiku ($4.00/1M tokens) is 20.0x more expensive than Llama 3.1 70B Instruct ($0.20/1M tokens).

In conclusion, Claude 3.5 Haiku is more expensive than Llama 3.1 70B Instruct.*

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

Lowest available price from all providers
Sat Jun 06 2026 • llm-stats.com
Anthropic
Claude 3.5 Haiku
Input tokens$0.80
Output tokens$4.00
Best providerAWS Bedrock
Meta
Llama 3.1 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 3.5 Haiku accepts 200,000 input tokens compared to Llama 3.1 70B Instruct's 128,000 tokens. Claude 3.5 Haiku can generate longer responses up to 200,000 tokens, while Llama 3.1 70B Instruct is limited to 128,000 tokens.

Anthropic
Claude 3.5 Haiku
Input200,000 tokens
Output200,000 tokens
Meta
Llama 3.1 70B Instruct
Input128,000 tokens
Output128,000 tokens
Sat Jun 06 2026 • llm-stats.com

License

Usage and distribution terms

Claude 3.5 Haiku is licensed under a proprietary license, while Llama 3.1 70B Instruct uses Llama 3.1 Community License.

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

Claude 3.5 Haiku

Proprietary

Closed source

Llama 3.1 70B Instruct

Llama 3.1 Community License

Open weights

Release Timeline

When each model was launched

Claude 3.5 Haiku was released on 2024-10-22, while Llama 3.1 70B Instruct was released on 2024-07-23.

Claude 3.5 Haiku is 3 months newer than Llama 3.1 70B Instruct.

Claude 3.5 Haiku

Oct 22, 2024

1.6 years ago

3mo newer
Llama 3.1 70B Instruct

Jul 23, 2024

1.9 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

Claude 3.5 Haiku is available from Bedrock, Google, Anthropic. Llama 3.1 70B Instruct is available from Lambda, DeepInfra, Hyperbolic, Groq, Cerebras, Together, Fireworks, Bedrock, Sambanova.

Claude 3.5 Haiku

bedrock logo
AWS Bedrock
Input Price:Input: $0.80/1MOutput Price:Output: $4.00/1M
google logo
Google
Input Price:Input: $0.80/1MOutput Price:Output: $4.00/1M
anthropic logo
Anthropic
Input Price:Input: $1.00/1MOutput Price:Output: $5.00/1M

Llama 3.1 70B Instruct

lambda logo
Lambda
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.35/1MOutput 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: $0.78/1M
cerebras logo
Cerebras
Input Price:Input: $0.60/1MOutput Price:Output: $0.60/1M
together logo
Together
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
fireworks logo
Fireworks
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
bedrock logo
AWS Bedrock
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
sambanova logo
Sambanova
Input Price:Input: $5.00/1MOutput Price:Output: $10.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Anthropic
Larger context window (200,000 tokens)
Higher DROP score (83.1% vs 79.6%)
Higher HumanEval score (88.1% vs 80.5%)
Meta
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher GPQA score (41.7% vs 41.6%)
Higher MMLU-Pro score (66.4% vs 65.0%)

Detailed Comparison

AI Model Comparison Table
Feature
Anthropic
Claude 3.5 Haiku
Meta
Llama 3.1 70B Instruct

FAQ

Common questions about Claude 3.5 Haiku vs Llama 3.1 70B Instruct.

Which is better, Claude 3.5 Haiku or Llama 3.1 70B Instruct?

Both models are evenly matched across the benchmarks. Claude 3.5 Haiku is made by Anthropic and Llama 3.1 70B Instruct is made by Meta. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Claude 3.5 Haiku compare to Llama 3.1 70B Instruct in benchmarks?

Claude 3.5 Haiku scores HumanEval: 88.1%, MGSM: 85.6%, DROP: 83.1%, MATH: 69.4%, MMLU-Pro: 65.0%. Llama 3.1 70B Instruct scores GSM-8K (CoT): 95.1%, ARC-C: 94.8%, API-Bank: 90.0%, IFEval: 87.5%, Multilingual MGSM (CoT): 86.9%.

Is Claude 3.5 Haiku cheaper than Llama 3.1 70B Instruct?

Llama 3.1 70B Instruct is 4.0x cheaper for input tokens. Claude 3.5 Haiku costs $0.80/M input and $4.00/M output via bedrock. Llama 3.1 70B Instruct costs $0.20/M input and $0.20/M output via lambda.

What are the context window sizes for Claude 3.5 Haiku and Llama 3.1 70B Instruct?

Claude 3.5 Haiku supports 200K tokens and Llama 3.1 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 3.5 Haiku and Llama 3.1 70B Instruct?

Key differences include context window (200K vs 128K), input pricing ($0.80 vs $0.20/M), licensing (Proprietary vs Llama 3.1 Community License). See the full comparison above for benchmark-by-benchmark results.

Who makes Claude 3.5 Haiku and Llama 3.1 70B Instruct?

Claude 3.5 Haiku is developed by Anthropic and Llama 3.1 70B Instruct is developed by Meta.

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