Gemini 2.0 Flash vs Nova Pro
Gemini 2.0 Flash leads the LLM Stats Score 16.5 to 12.2. Gemini 2.0 Flash is 8.0x cheaper per token.
Google · Amazon · Updated for 2026
Which is better?
Gemini 2.0 Flash leads the overall LLM Stats Score 16.5 to 12.2, ranking #237 overall.
In the 4 individual benchmarks reported for both models, Gemini 2.0 Flash wins 3; this is a narrower head-to-head signal than the composite indexes.
On price, Gemini 2.0 Flash is roughly 8.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 2.0 Flash also accepts a larger context window (1,048,576 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 Gemini 2.0 Flash
- overall performance matters — it scores 16.5 and ranks #237 on LLM Stats
- you value its reported benchmark strengths — it wins 3 of 4 exact shared results
- cost matters — it's about 8.0x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Dec 2024
Choose Nova Pro
- you want predictable pricing at $0.80/M input and $3.20/M output
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
13 reported for Gemini 2.0 Flash · 27 for Nova Pro
Gemini 2.0 Flash outperforms in 3 benchmarks (GPQA, MATH, MMMU), while Nova Pro is better at 1 benchmark (EgoSchema).
Gemini 2.0 Flash shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 2.0 Flash ($0.10/1M tokens) is 8.0x cheaper than Nova Pro ($0.80/1M tokens).
For output processing, Gemini 2.0 Flash ($0.40/1M tokens) is 8.0x cheaper than Nova Pro ($3.20/1M tokens).
In conclusion, Nova Pro is more expensive than Gemini 2.0 Flash.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 2.0 Flash accepts 1,048,576 input tokens compared to Nova Pro's 300,000 tokens. Nova Pro can generate longer responses up to 300,000 tokens, while Gemini 2.0 Flash is limited to 8,192 tokens.
Input capabilities
Documented input modalities across available providers
Both Gemini 2.0 Flash and Nova Pro support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 2.0 Flash
Nova Pro
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
Gemini 2.0 Flash was released on 2024-12-01, while Nova Pro was released on 2024-11-20.
Gemini 2.0 Flash is 0 month newer than Nova Pro.
Dec 1, 2024
1.9 years ago
1w newerNov 20, 2024
1.9 years ago
Knowledge Cutoff
When training data ends
Gemini 2.0 Flash has a documented knowledge cutoff of 2024-08-01, while Nova Pro's cutoff date is not specified.
We can confirm Gemini 2.0 Flash's training data extends to 2024-08-01, but cannot make a direct comparison without Nova Pro's cutoff date.
Aug 2024
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Provider Availability
Gemini 2.0 Flash is available from Google. Nova Pro is available from Bedrock.
Gemini 2.0 Flash
Nova Pro
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 2.0 Flash and Nova Pro side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 2.0 Flash vs Nova Pro.