Model Comparison

Claude 3 Haiku vs Nova ProWhich is better in 2026?

Nova Pro significantly outperforms across most benchmarks. Claude 3 Haiku is 2.8x cheaper per token.

Verdict: Claude 3 Haiku vs Nova Pro — which is better?

Claude 3 Haiku (by Anthropic) and Nova Pro (by Amazon) 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 Haiku outperforms in 0 benchmarks, while Nova Pro is better at 7 benchmarks (ARC-C, DROP, GPQA, GSM8k, HumanEval, MATH, MMLU). Nova Pro significantly outperforms across most benchmarks.

On price, Claude 3 Haiku is roughly 2.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Nova Pro also accepts a larger context window (300,000 input tokens), making it the stronger choice for long documents and large codebases.

Choose Claude 3 Haiku if…

  • cost matters — it's about 2.8x cheaper per token

Choose Nova Pro if…

  • you want the strongest raw capability — it leads on 7 of 7 shared benchmarks
  • you process long inputs — it offers a 300,000 token context window
  • you want the most recent training data — it shipped Nov 2024
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Performance Benchmarks

Comparative analysis across standard metrics

7 benchmarks

Claude 3 Haiku outperforms in 0 benchmarks, while Nova Pro is better at 7 benchmarks (ARC-C, DROP, GPQA, GSM8k, HumanEval, MATH, MMLU).

Nova Pro significantly outperforms across most benchmarks.

Tue Jun 09 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Claude 3 Haiku costs less

For input processing, Claude 3 Haiku ($0.25/1M tokens) is 3.2x cheaper than Nova Pro ($0.80/1M tokens).

For output processing, Claude 3 Haiku ($1.25/1M tokens) is 2.6x cheaper than Nova Pro ($3.20/1M tokens).

In conclusion, Nova Pro is more expensive than Claude 3 Haiku.*

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

Lowest available price from all providers
Tue Jun 09 2026 • llm-stats.com
Anthropic
Claude 3 Haiku
Input tokens$0.25
Output tokens$1.25
Best providerAnthropic
Amazon
Nova Pro
Input tokens$0.80
Output tokens$3.20
Best providerAWS Bedrock
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Nova Pro accepts 300,000 input tokens compared to Claude 3 Haiku's 200,000 tokens. Nova Pro can generate longer responses up to 300,000 tokens, while Claude 3 Haiku is limited to 200,000 tokens.

Anthropic
Claude 3 Haiku
Input200,000 tokens
Output200,000 tokens
Amazon
Nova Pro
Input300,000 tokens
Output300,000 tokens
Tue Jun 09 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Claude 3 Haiku and Nova Pro support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Claude 3 Haiku

Text
Images
Audio
Video

Nova Pro

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Claude 3 Haiku

Proprietary

Closed source

Nova Pro

Proprietary

Closed source

Release Timeline

When each model was launched

Claude 3 Haiku was released on 2024-03-13, while Nova Pro was released on 2024-11-20.

Nova Pro is 8 months newer than Claude 3 Haiku.

Claude 3 Haiku

Mar 13, 2024

2.2 years ago

Nova Pro

Nov 20, 2024

1.6 years ago

8mo newer

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 Haiku is available from Anthropic, Bedrock, Google. Nova Pro is available from Bedrock.

Claude 3 Haiku

anthropic logo
Anthropic
Input Price:Input: $0.25/1MOutput Price:Output: $1.25/1M
bedrock logo
AWS Bedrock
Input Price:Input: $0.25/1MOutput Price:Output: $1.25/1M
google logo
Google
Input Price:Input: $0.25/1MOutput Price:Output: $1.25/1M

Nova Pro

bedrock logo
AWS Bedrock
Input Price:Input: $0.80/1MOutput Price:Output: $3.20/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Anthropic
Less expensive input tokens
Less expensive output tokens
Amazon
Larger context window (300,000 tokens)
Higher ARC-C score (94.8% vs 89.2%)
Higher DROP score (85.4% vs 78.4%)
Higher GPQA score (46.9% vs 33.3%)
Higher GSM8k score (94.8% vs 88.9%)
Higher HumanEval score (89.0% vs 75.9%)
Higher MATH score (76.6% vs 38.9%)
Higher MMLU score (85.9% vs 75.2%)

Detailed Comparison

AI Model Comparison Table
Feature
Anthropic
Claude 3 Haiku
Amazon
Nova Pro

FAQ

Common questions about Claude 3 Haiku vs Nova Pro.

Which is better, Claude 3 Haiku or Nova Pro?

Nova Pro significantly outperforms across most benchmarks. Claude 3 Haiku is made by Anthropic and Nova Pro is made by Amazon. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Claude 3 Haiku compare to Nova Pro in benchmarks?

Claude 3 Haiku scores ARC-C: 89.2%, GSM8k: 88.9%, HellaSwag: 85.9%, DROP: 78.4%, HumanEval: 75.9%. Nova Pro scores ARC-C: 94.8%, GSM8k: 94.8%, DocVQA: 93.5%, IFEval: 92.1%, ChartQA: 89.2%.

Is Claude 3 Haiku cheaper than Nova Pro?

Claude 3 Haiku is 3.2x cheaper for input tokens. Claude 3 Haiku costs $0.25/M input and $1.25/M output via anthropic. Nova Pro costs $0.80/M input and $3.20/M output via bedrock.

What are the context window sizes for Claude 3 Haiku and Nova Pro?

Claude 3 Haiku supports 200K tokens and Nova Pro supports 300K 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 Haiku and Nova Pro?

Key differences include context window (200K vs 300K), input pricing ($0.25 vs $0.80/M). See the full comparison above for benchmark-by-benchmark results.

Who makes Claude 3 Haiku and Nova Pro?

Claude 3 Haiku is developed by Anthropic and Nova Pro is developed by Amazon.

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