GPT-5 mini vs Nova Pro
GPT-5 mini leads the LLM Stats Score 27.6 to 12.4. GPT-5 mini is 2.0x cheaper per token.
OpenAI · Amazon · Updated for 2026
Which is better?
GPT-5 mini leads the overall LLM Stats Score 27.6 to 12.4, ranking #134 overall.
In the 1 individual benchmarks reported for both models, GPT-5 mini wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, GPT-5 mini is roughly 2.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-5 mini also accepts a larger context window (400,000 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 GPT-5 mini
- overall performance matters — it scores 27.6 and ranks #134 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
- cost matters — it's about 2.0x cheaper per token
- you process long inputs — it offers a 400,000 token context window
- you want the most recent training data — it shipped Aug 2025
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
5 reported for GPT-5 mini · 27 for Nova Pro
GPT-5 mini outperforms in 1 benchmarks (GPQA), while Nova Pro is better at 0 benchmarks.
GPT-5 mini significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-5 mini ($0.25/1M tokens) is 3.2x cheaper than Nova Pro ($0.80/1M tokens).
For output processing, GPT-5 mini ($2.00/1M tokens) is 1.6x cheaper than Nova Pro ($3.20/1M tokens).
In conclusion, Nova Pro is more expensive than GPT-5 mini.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-5 mini accepts 400,000 input tokens compared to Nova Pro's 300,000 tokens. Nova Pro can generate longer responses up to 300,000 tokens, while GPT-5 mini is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both GPT-5 mini and Nova Pro support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-5 mini
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
GPT-5 mini was released on 2025-08-07, while Nova Pro was released on 2024-11-20.
GPT-5 mini is 9 months newer than Nova Pro.
Aug 7, 2025
1.1 years ago
8mo newerNov 20, 2024
1.8 years ago
Knowledge Cutoff
When training data ends
GPT-5 mini has a documented knowledge cutoff of 2024-05-30, while Nova Pro's cutoff date is not specified.
We can confirm GPT-5 mini's training data extends to 2024-05-30, but cannot make a direct comparison without Nova Pro's cutoff date.
May 2024
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Provider Availability
GPT-5 mini is available from OpenAI. Nova Pro is available from Bedrock.
GPT-5 mini
Nova Pro
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-5 mini and Nova Pro side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-5 mini vs Nova Pro.