Amazon Nova 2 Pro vs GPT-6 Sol

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-6 Sol for openai's everyday-work tier below gpt-6 astra, built with the same methods that improved astra's professional work, factuality, coding, computer use, and alignment or openai says it makes about half as many mistakes as gpt-5.6 sol. On a tight budget at scale, GPT-6 Sol is the value pick.

Amazon Nova 2 Pro (Amazon) and GPT-6 Sol (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-6 Sol is openAI's September 22, 2026 mid-tier update — Astra-derived improvements at half the GPT-5.6 Sol price, $2/$10 per million tokens. They diverge most on price and context window — each quantified below from the models' real specs.

Key differences at a glance

Side-by-side specs

SpecAmazon Nova 2 ProGPT-6 Sol
ProviderAmazon (US) OpenAI (US)
ReleasedDecember 2, 2025 September 22, 2026
Context window1M (~1,500 pages) 1.05M tokens (~1,575 pages)
Price (in/out)$2.19/$17.5 per 1M tokens $2/$10 per 1M tokens
Open weight?No — API only No — API only
Modalitiestext, image text, image
SWE-Bench VerifiedNot published Not published
MRCR v2 @ 1MNot 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

GPT-6 Sol is comparatively weak here — more reasoning capability than sibling GPT-6 Luna, but still positioned below flagship GPT-6 Astra

Deep AWS Bedrock integration for teams already building on AWS

Amazon Nova 2 Pro

Amazon Nova 2 Pro lists deep AWS Bedrock integration for teams already building on AWS among its strengths; GPT-6 Sol does not.

A companion real-time-voice model (Nova 2 Sonic) in the same family

Amazon Nova 2 Pro

Amazon Nova 2 Pro lists a companion real-time-voice model (Nova 2 Sonic) in the same family among its strengths; GPT-6 Sol does not.

OpenAI's everyday-work tier below GPT-6 Astra, built with the same methods that improved Astra's professional work, factuality, coding, computer use, and alignment

GPT-6 Sol

Amazon Nova 2 Pro is comparatively weak here — amazon's Nova line has historically scored below independent-intelligence leaders like Claude, GPT, and Gemini

OpenAI says it makes about half as many mistakes as GPT-5.6 Sol

GPT-6 Sol

OpenAI's September 22, 2026 mid-tier update — Astra-derived improvements at half the GPT-5.6 Sol price, $2/$10 per million tokens — and it runs cheaper at $2/$10 per 1M tokens.

Priced at half of the GPT-5.6 Sol/Luna generation's rates ($2/$10 vs GPT-5.6 Sol's $5/$30)

GPT-6 Sol

At $2/$10 per 1M tokens it undercuts Amazon Nova 2 Pro ($2.19/$17.5 per 1M tokens), and that gap compounds at volume.

Lowest cost at scale

GPT-6 Sol

At $2/$10 per 1M tokens, it is the cheaper of the two — the gap dominates the bill on high-volume workloads.

Which should you pick?

A cost-sensitive startup shipping high volume

GPT-6 Sol

At $2/$10 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

GPT-6 Sol

Larger 1.05M tokens 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 openai's everyday-work tier below gpt-6 astra, built with the same methods that improved astra's professional work, factuality, coding, computer use, and alignment

GPT-6 Sol

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-6 Sol: where it fits

OpenAI's September 22, 2026 mid-tier update — Astra-derived improvements at half the GPT-5.6 Sol price, $2/$10 per million tokens. Released September 22, 2026 by OpenAI, it is built for openAI's everyday-work tier below GPT-6 Astra, built with the same methods that improved Astra's professional work, factuality, coding, computer use, and alignment, openAI says it makes about half as many mistakes as GPT-5.6 Sol, priced at half of the GPT-5.6 Sol/Luna generation's rates ($2/$10 vs GPT-5.6 Sol's $5/$30), and 1.05M-token context window, input capped at 922K.

Its trade-offs: more reasoning capability than sibling GPT-6 Luna, but still positioned below flagship GPT-6 Astra, and cache-read pricing ($0.20/MTok) still costlier than Luna's ($0.01/MTok) for high-cache workloads. At $2 in / $10 out per million tokens, it sits in the mid price band.

The bottom line for this matchup

Amazon Nova 2 Pro and GPT-6 Sol overlap enough that the right pick depends on your specific job. GPT-6 Sol costs less per token; GPT-6 Sol 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-6 Sol for openai's everyday-work tier below gpt-6 astra, built with the same methods that improved astra's professional work, factuality, coding, computer use, and alignment. 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-6 Sol 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.

See pricing

Frequently asked questions

Is Amazon Nova 2 Pro or GPT-6 Sol 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-6 Sol leans toward openai's everyday-work tier below gpt-6 astra, built with the same methods that improved astra's professional work, factuality, coding, computer use, and alignment, and that positioning usually predicts which feels better on your codebase.

Which is cheaper, Amazon Nova 2 Pro or GPT-6 Sol?

GPT-6 Sol is cheaper — $2.19/$17.5 per 1M tokens vs $2/$10 per 1M tokens, roughly 1.1× apart on input.

Which has the bigger context window?

Effectively neither — 1M vs 1.05M tokens is a difference of a few percent. Remember advertised ≠ usable: recall typically degrades before the ceiling.

Can I use both Amazon Nova 2 Pro and GPT-6 Sol together?

Yes — a multi-model platform like LumiChats gives you Amazon Nova 2 Pro, GPT-6 Sol 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-6 Sol?

GPT-6 Sol — released September 22, 2026, about 10 months after Amazon Nova 2 Pro.

Related comparisons

Specifications and benchmarks reflect publicly reported figures as of June 2026 and may change as providers release updates. Always verify on your own workload.