Model Comparison

Gemini 1.5 Pro vs Nova ProWhich is better in 2026?

Both models are evenly matched across the benchmarks. Nova Pro is 3.1x cheaper per token.

Verdict: Gemini 1.5 Pro vs Nova Pro — which is better?

Gemini 1.5 Pro (by Google) 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.

Gemini 1.5 Pro outperforms in 3 benchmarks (GPQA, MATH, MMMU), while Nova Pro is better at 3 benchmarks (DROP, GSM8k, HumanEval). Both models are evenly matched across the benchmarks.

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

Gemini 1.5 Pro also accepts a larger context window (2,097,152 input tokens), making it the stronger choice for long documents and large codebases.

Choose Gemini 1.5 Pro if…

  • you process long inputs — it offers a 2,097,152 token context window

Choose Nova Pro if…

  • you want the strongest raw capability — it leads on 4 of 7 shared benchmarks
  • cost matters — it's about 3.1x cheaper per token
  • you want the most recent training data — it shipped Nov 2024
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

7 benchmarks

Gemini 1.5 Pro outperforms in 3 benchmarks (GPQA, MATH, MMMU), while Nova Pro is better at 3 benchmarks (DROP, GSM8k, HumanEval).

Both models are evenly matched across the benchmarks.

Sat Jun 13 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Nova Pro costs less

For input processing, Gemini 1.5 Pro ($2.50/1M tokens) is 3.1x more expensive than Nova Pro ($0.80/1M tokens).

For output processing, Gemini 1.5 Pro ($10.00/1M tokens) is 3.1x more expensive than Nova Pro ($3.20/1M tokens).

In conclusion, Gemini 1.5 Pro is more expensive than Nova Pro.*

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

Lowest available price from all providers
Sat Jun 13 2026 • llm-stats.com
Google
Gemini 1.5 Pro
Input tokens$2.50
Output tokens$10.00
Best providerGoogle
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

Gemini 1.5 Pro accepts 2,097,152 input tokens compared to Nova Pro's 300,000 tokens. Nova Pro can generate longer responses up to 300,000 tokens, while Gemini 1.5 Pro is limited to 8,192 tokens.

Google
Gemini 1.5 Pro
Input2,097,152 tokens
Output8,192 tokens
Amazon
Nova Pro
Input300,000 tokens
Output300,000 tokens
Sat Jun 13 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 1.5 Pro and Nova Pro support multimodal inputs.

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

Gemini 1.5 Pro

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.

Gemini 1.5 Pro

Proprietary

Closed source

Nova Pro

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 1.5 Pro was released on 2024-05-01, while Nova Pro was released on 2024-11-20.

Nova Pro is 7 months newer than Gemini 1.5 Pro.

Gemini 1.5 Pro

May 1, 2024

2.1 years ago

Nova Pro

Nov 20, 2024

1.6 years ago

6mo newer

Knowledge Cutoff

When training data ends

Gemini 1.5 Pro has a documented knowledge cutoff of 2023-11-01, while Nova Pro's cutoff date is not specified.

We can confirm Gemini 1.5 Pro's training data extends to 2023-11-01, but cannot make a direct comparison without Nova Pro's cutoff date.

Gemini 1.5 Pro

Nov 2023

Nova Pro

—

Provider Availability

Gemini 1.5 Pro is available from Google. Nova Pro is available from Bedrock.

Gemini 1.5 Pro

google logo
Google
Input Price:Input: $2.50/1MOutput Price:Output: $10.00/1M

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

Google
Larger context window (2,097,152 tokens)
Higher GPQA score (59.1% vs 46.9%)
Higher MATH score (86.5% vs 76.6%)
Higher MMMU score (65.9% vs 61.7%)
Amazon
Less expensive input tokens
Less expensive output tokens
Higher DROP score (85.4% vs 74.9%)
Higher GSM8k score (94.8% vs 90.8%)
Higher HumanEval score (89.0% vs 84.1%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 1.5 Pro
Amazon
Nova Pro

FAQ

Common questions about Gemini 1.5 Pro vs Nova Pro.

Which is better, Gemini 1.5 Pro or Nova Pro?

Both models are evenly matched across the benchmarks. Gemini 1.5 Pro is made by Google 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 Gemini 1.5 Pro compare to Nova Pro in benchmarks?

Gemini 1.5 Pro scores XSTest: 98.8%, FLEURS: 93.3%, HellaSwag: 93.3%, GSM8k: 90.8%, BIG-Bench Hard: 89.2%. Nova Pro scores ARC-C: 94.8%, GSM8k: 94.8%, DocVQA: 93.5%, IFEval: 92.1%, ChartQA: 89.2%.

Is Gemini 1.5 Pro cheaper than Nova Pro?

Nova Pro is 3.1x cheaper for input tokens. Gemini 1.5 Pro costs $2.50/M input and $10.00/M output via google. Nova Pro costs $0.80/M input and $3.20/M output via bedrock.

What are the context window sizes for Gemini 1.5 Pro and Nova Pro?

Gemini 1.5 Pro supports 2.1M 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 Gemini 1.5 Pro and Nova Pro?

Key differences include context window (2.1M vs 300K), input pricing ($2.50 vs $0.80/M). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 1.5 Pro and Nova Pro?

Gemini 1.5 Pro is developed by Google and Nova Pro is developed by Amazon.

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