Pick Amazon Nova 2 Pro for amazon's next-generation nova flagship - a 1m-token context window with selectable reasoning effort or deep aws bedrock integration for teams already building on aws. Pick GPT-4o mini for very low cost per token for its capability tier or strong coding for a small model (87.2% humaneval). On a tight budget at scale, GPT-4o mini is the value pick.
Amazon Nova 2 Pro (Amazon) and GPT-4o mini (OpenAI) are two of the models people most often weigh against each other in 2026. Amazon Nova 2 Pro is amazon's next-generation Nova flagship - 1M context, selectable reasoning effort, and deep Bedrock integration, replacing the retiring Nova Premier. GPT-4o mini is openAI's budget small multimodal model — cheap, fast text-and-vision intelligence that outscored peer small models like Gemini 1.5 Flash and Claude 3 Haiku on MMLU and HumanEval at launch. They diverge most on price and context window — each quantified below from the models' real specs.
Key differences
Price: GPT-4o mini is about 15× cheaper on input ($0.15/$0.6 per 1M tokens vs $2.19/$17.5 per 1M tokens) — a large enough gap that at scale it can be the single biggest line item in the decision.
Context window: Amazon Nova 2 Pro holds 7.8× more — 1M (~1,500 pages) vs 128K (~192 pages). But effective recall usually fades long before the advertised ceiling, so the bigger number only helps if the model reasons over it.
Recency: Amazon Nova 2 Pro is the newer model by about 17 months (released December 2, 2025), usually meaning fresher training data and capabilities.
Specifications
Spec
Amazon Nova 2 Pro
GPT-4o mini
Provider
Amazon (US)
OpenAI (US)
Released
December 2, 2025
July 18, 2024
Context window
1M (~1,500 pages)
128K (~192 pages)
Price (in/out)
$2.19/$17.5 per 1M tokens
$0.15/$0.6 per 1M tokens
Open weight?
No — API only
No — API only
Modalities
text, image
text, image
SWE-Bench Verified
Not published
Not published
MRCR v2 @ 1M
Not published
Not published
Who wins what
Amazon's next-generation Nova flagship - a 1M-token context window with selectable reasoning effort: Amazon Nova 2 Pro — Its 1M window holds about 7.8× more than GPT-4o mini's 128K in a single prompt.
Deep AWS Bedrock integration for teams already building on AWS: Amazon Nova 2 Pro — Amazon's next-generation Nova flagship - 1M context, selectable reasoning effort, and deep Bedrock integration, replacing the retiring Nova Premier — and it carries the larger 1M context.
A companion real-time-voice model (Nova 2 Sonic) in the same family: Amazon Nova 2 Pro — GPT-4o mini is comparatively weak here — weaker on hard reasoning and coding than frontier models
Very low cost per token for its capability tier: GPT-4o mini — At $0.15/$0.6 per 1M tokens it undercuts Amazon Nova 2 Pro ($2.19/$17.5 per 1M tokens), and that gap compounds at volume.
Strong coding for a small model (87.2% HumanEval): GPT-4o mini — OpenAI's budget small multimodal model — cheap, fast text-and-vision intelligence that outscored peer small models like Gemini 1.5 Flash and Claude 3 Haiku on MMLU and HumanEval at launch — and it runs cheaper at $0.15/$0.6 per 1M tokens.
Leading MMLU among peer small models (82%): GPT-4o mini — GPT-4o mini lists leading MMLU among peer small models (82%) among its strengths; Amazon Nova 2 Pro does not.
Lowest cost at scale: GPT-4o mini — At $0.15/$0.6 per 1M tokens, it is the cheaper of the two — the gap dominates the bill on high-volume workloads.
Largest single-prompt input: Amazon Nova 2 Pro — Its 1M window is about 7.8× larger than GPT-4o mini's 128K, fitting roughly 1,500 pages in one prompt.
Which should you pick?
A cost-sensitive startup shipping high volume: GPT-4o mini — At $0.15/$0.6 per 1M tokens it undercuts Amazon Nova 2 Pro, and on millions of tokens that margin decides the monthly bill.
Someone analysing very long documents or codebases: Amazon Nova 2 Pro — Larger 1M window fits more in one prompt.
Anyone whose priority is amazon's next-generation nova flagship - a 1m-token context window with selectable reasoning effort: Amazon Nova 2 Pro — It is specifically built for that.
Anyone whose priority is very low cost per token for its capability tier: GPT-4o mini — That is its strongest area.
Amazon Nova 2 Pro: where it fits
Amazon's next-generation Nova flagship - 1M context, selectable reasoning effort, and deep Bedrock integration, replacing the retiring Nova Premier. Released December 2, 2025 by Amazon, it is built for amazon's next-generation Nova flagship - a 1M-token context window with selectable reasoning effort, deep AWS Bedrock integration for teams already building on AWS, a companion real-time-voice model (Nova 2 Sonic) in the same family, and replaces the original Nova Premier, which AWS is retiring in September 2026.
Its trade-offs are real: pricing shown reflects preview-tier rates and may change at general availability, amazon's Nova line has historically scored below independent-intelligence leaders like Claude, GPT, and Gemini, and a newer release with less real-world production track record than established flagships. At $2.19 in / $17.5 out per million tokens, it sits in the mid price band.
GPT-4o mini: where it fits
OpenAI's budget small multimodal model — cheap, fast text-and-vision intelligence that outscored peer small models like Gemini 1.5 Flash and Claude 3 Haiku on MMLU and HumanEval at launch. Released July 18, 2024 by OpenAI, it is built for very low cost per token for its capability tier, strong coding for a small model (87.2% HumanEval), leading MMLU among peer small models (82%), and text and image (vision) understanding in the API.
Its trade-offs: only 128K context with an October 2023 knowledge cutoff, and weaker on hard reasoning and coding than frontier models. At $0.15 in / $0.6 out per million tokens, it sits in the budget price band.
The bottom line for this matchup
Amazon Nova 2 Pro and GPT-4o mini overlap enough that the right pick depends on your specific job. GPT-4o mini costs less per token; Amazon Nova 2 Pro holds the larger context; and each leads in its own area — Amazon Nova 2 Pro for amazon's next-generation nova flagship - a 1m-token context window with selectable reasoning effort, GPT-4o mini for very low cost per token for its capability tier. Rather than crowning one, run the same hard task through both once and let the results decide.
Frequently asked questions
Is Amazon Nova 2 Pro or GPT-4o mini better for coding?
Public SWE-Bench figures are not available for either model, so the honest test is your own repository — run an identical real bug through both. By design, Amazon Nova 2 Pro leans toward amazon's next-generation nova flagship - a 1m-token context window with selectable reasoning effort while GPT-4o mini leans toward very low cost per token for its capability tier, and that positioning usually predicts which feels better on your codebase.
Which is cheaper, Amazon Nova 2 Pro or GPT-4o mini?
GPT-4o mini is cheaper — $2.19/$17.5 per 1M tokens vs $0.15/$0.6 per 1M tokens, roughly 15× apart on input.
Which has the bigger context window?
Amazon Nova 2 Pro — 1M vs 128K, about 7.8× larger. Useful only if the model actually reasons over the full window, which not all do.
Can I use both Amazon Nova 2 Pro and GPT-4o mini together?
Yes — a multi-model platform like LumiChats gives you Amazon Nova 2 Pro, GPT-4o mini and 40+ others under one ₹69/day pass (about $1/day), so you can draft with one and cross-check with the other instead of buying two subscriptions.
Which is newer, Amazon Nova 2 Pro or GPT-4o mini?
Amazon Nova 2 Pro — released December 2, 2025, about 17 months after GPT-4o mini.
Amazon Nova 2 Pro vs GPT-4o mini
Amazon · US | OpenAI · US · Updated June 2026
Quick verdict
Pick Amazon Nova 2 Pro for amazon's next-generation nova flagship - a 1m-token context window with selectable reasoning effort or deep aws bedrock integration for teams already building on aws. Pick GPT-4o mini for very low cost per token for its capability tier or strong coding for a small model (87.2% humaneval). On a tight budget at scale, GPT-4o mini is the value pick.
Amazon Nova 2 Pro (Amazon) and GPT-4o mini (OpenAI) are two of the models people most often weigh against each other in 2026. Amazon Nova 2 Pro is amazon's next-generation Nova flagship - 1M context, selectable reasoning effort, and deep Bedrock integration, replacing the retiring Nova Premier. GPT-4o mini is openAI's budget small multimodal model — cheap, fast text-and-vision intelligence that outscored peer small models like Gemini 1.5 Flash and Claude 3 Haiku on MMLU and HumanEval at launch. They diverge most on price and context window — each quantified below from the models' real specs.
Key differences at a glance
▸Price: GPT-4o mini is about 15× cheaper on input ($0.15/$0.6 per 1M tokens vs $2.19/$17.5 per 1M tokens) — a large enough gap that at scale it can be the single biggest line item in the decision.
▸Context window: Amazon Nova 2 Pro holds 7.8× more — 1M (~1,500 pages) vs 128K (~192 pages). But effective recall usually fades long before the advertised ceiling, so the bigger number only helps if the model reasons over it.
▸Recency: Amazon Nova 2 Pro is the newer model by about 17 months (released December 2, 2025), usually meaning fresher training data and capabilities.
Side-by-side specs
Spec
Amazon Nova 2 Pro
GPT-4o mini
Provider
Amazon (US)
OpenAI (US)
Released
December 2, 2025
July 18, 2024
Context window
1M (~1,500 pages)
128K (~192 pages)
Price (in/out)
$2.19/$17.5 per 1M tokens
$0.15/$0.6 per 1M tokens
Open weight?
No — API only
No — API only
Modalities
text, image
text, image
SWE-Bench Verified
Not published
Not published
MRCR v2 @ 1M
Not published
Not published
Who wins what
Amazon's next-generation Nova flagship - a 1M-token context window with selectable reasoning effort
Amazon Nova 2 Pro
Its 1M window holds about 7.8× more than GPT-4o mini's 128K in a single prompt.
Deep AWS Bedrock integration for teams already building on AWS
Amazon Nova 2 Pro
Amazon's next-generation Nova flagship - 1M context, selectable reasoning effort, and deep Bedrock integration, replacing the retiring Nova Premier — and it carries the larger 1M context.
A companion real-time-voice model (Nova 2 Sonic) in the same family
Amazon Nova 2 Pro
GPT-4o mini is comparatively weak here — weaker on hard reasoning and coding than frontier models
Very low cost per token for its capability tier
GPT-4o mini
At $0.15/$0.6 per 1M tokens it undercuts Amazon Nova 2 Pro ($2.19/$17.5 per 1M tokens), and that gap compounds at volume.
Strong coding for a small model (87.2% HumanEval)
GPT-4o mini
OpenAI's budget small multimodal model — cheap, fast text-and-vision intelligence that outscored peer small models like Gemini 1.5 Flash and Claude 3 Haiku on MMLU and HumanEval at launch — and it runs cheaper at $0.15/$0.6 per 1M tokens.
Leading MMLU among peer small models (82%)
GPT-4o mini
GPT-4o mini lists leading MMLU among peer small models (82%) among its strengths; Amazon Nova 2 Pro does not.
Lowest cost at scale
GPT-4o mini
At $0.15/$0.6 per 1M tokens, it is the cheaper of the two — the gap dominates the bill on high-volume workloads.
Largest single-prompt input
Amazon Nova 2 Pro
Its 1M window is about 7.8× larger than GPT-4o mini's 128K, fitting roughly 1,500 pages in one prompt.
Which should you pick?
A cost-sensitive startup shipping high volume
→ GPT-4o mini
At $0.15/$0.6 per 1M tokens it undercuts Amazon Nova 2 Pro, and on millions of tokens that margin decides the monthly bill.
Someone analysing very long documents or codebases
→ Amazon Nova 2 Pro
Larger 1M window fits more in one prompt.
Anyone whose priority is amazon's next-generation nova flagship - a 1m-token context window with selectable reasoning effort
→ Amazon Nova 2 Pro
It is specifically built for that.
Anyone whose priority is very low cost per token for its capability tier
→ GPT-4o mini
That is its strongest area.
Amazon Nova 2 Pro: where it fits
Amazon's next-generation Nova flagship - 1M context, selectable reasoning effort, and deep Bedrock integration, replacing the retiring Nova Premier. Released December 2, 2025 by Amazon, it is built for amazon's next-generation Nova flagship - a 1M-token context window with selectable reasoning effort, deep AWS Bedrock integration for teams already building on AWS, a companion real-time-voice model (Nova 2 Sonic) in the same family, and replaces the original Nova Premier, which AWS is retiring in September 2026.
Its trade-offs are real: pricing shown reflects preview-tier rates and may change at general availability, amazon's Nova line has historically scored below independent-intelligence leaders like Claude, GPT, and Gemini, and a newer release with less real-world production track record than established flagships. At $2.19 in / $17.5 out per million tokens, it sits in the mid price band.
GPT-4o mini: where it fits
OpenAI's budget small multimodal model — cheap, fast text-and-vision intelligence that outscored peer small models like Gemini 1.5 Flash and Claude 3 Haiku on MMLU and HumanEval at launch. Released July 18, 2024 by OpenAI, it is built for very low cost per token for its capability tier, strong coding for a small model (87.2% HumanEval), leading MMLU among peer small models (82%), and text and image (vision) understanding in the API.
Its trade-offs: only 128K context with an October 2023 knowledge cutoff, and weaker on hard reasoning and coding than frontier models. At $0.15 in / $0.6 out per million tokens, it sits in the budget price band.
The bottom line for this matchup
Amazon Nova 2 Pro and GPT-4o mini overlap enough that the right pick depends on your specific job. GPT-4o mini costs less per token; Amazon Nova 2 Pro holds the larger context; and each leads in its own area — Amazon Nova 2 Pro for amazon's next-generation nova flagship - a 1m-token context window with selectable reasoning effort, GPT-4o mini for very low cost per token for its capability tier. Rather than crowning one, run the same hard task through both once and let the results decide.
Want both Amazon Nova 2 Pro and GPT-4o mini without two subscriptions? LumiChats gives you these plus 40+ models under one ₹69/day pass (about $1/day) — draft with one, cross-check with the other.
Is Amazon Nova 2 Pro or GPT-4o mini better for coding?
Public SWE-Bench figures are not available for either model, so the honest test is your own repository — run an identical real bug through both. By design, Amazon Nova 2 Pro leans toward amazon's next-generation nova flagship - a 1m-token context window with selectable reasoning effort while GPT-4o mini leans toward very low cost per token for its capability tier, and that positioning usually predicts which feels better on your codebase.
Which is cheaper, Amazon Nova 2 Pro or GPT-4o mini?
GPT-4o mini is cheaper — $2.19/$17.5 per 1M tokens vs $0.15/$0.6 per 1M tokens, roughly 15× apart on input.
Which has the bigger context window?
Amazon Nova 2 Pro — 1M vs 128K, about 7.8× larger. Useful only if the model actually reasons over the full window, which not all do.
Can I use both Amazon Nova 2 Pro and GPT-4o mini together?
Yes — a multi-model platform like LumiChats gives you Amazon Nova 2 Pro, GPT-4o mini and 40+ others under one ₹69/day pass (about $1/day), so you can draft with one and cross-check with the other instead of buying two subscriptions.
Which is newer, Amazon Nova 2 Pro or GPT-4o mini?
Amazon Nova 2 Pro — released December 2, 2025, about 17 months after GPT-4o mini.
Specifications and benchmarks reflect publicly reported figures as of June 2026 and may change as providers release updates. Always verify on your own workload.