Pick Amazon Nova Pro for multimodal input across text, image and video at $0.80/$3.20 or deep aws and bedrock integration for enterprise pipelines. Pick GPT-5.6 Luna for cheapest gpt-5.6 tier for high-volume drafting and automation or fast, affordable execution while keeping respectable coding. On a tight budget at scale, Amazon Nova Pro is the value pick.
Amazon Nova Pro (Amazon) and GPT-5.6 Luna (OpenAI) are two of the models people most often weigh against each other in 2026. Amazon Nova Pro is amazon's multimodal Bedrock model at $0.80/$3.20 with a 300K window — an enterprise-integrated generalist, not a frontier model. GPT-5.6 Luna is the budget, high-throughput GPT-5.6 tier — built for cheap, fast, large-volume work rather than deep long-context reasoning. They diverge most on price and context window — each quantified below from the models' real specs.
Key differences
Price: nearly identical — $0.8/$3.2 per 1M tokens vs $1/$6 per 1M tokens. Cost will not be the deciding factor here.
Context window: GPT-5.6 Luna holds 3.3× more — 1M (~1,500 pages) vs 300K (~450 pages). But effective recall usually fades long before the advertised ceiling, so the bigger number only helps if the model reasons over it.
Recency: GPT-5.6 Luna is the newer model by about 19 months (released July 9, 2026), usually meaning fresher training data and capabilities.
Specifications
Spec
Amazon Nova Pro
GPT-5.6 Luna
Provider
Amazon (US)
OpenAI (US)
Released
December 5, 2024
July 9, 2026
Context window
300K (~450 pages)
1M (~1,500 pages)
Price (in/out)
$0.8/$3.2 per 1M tokens
$1/$6 per 1M tokens
Open weight?
No — API only
No — API only
Modalities
text, image, video, code
text, image, code
SWE-Bench Verified
Not published
Not published
MRCR v2 @ 1M
Not published
Not published
Who wins what
Multimodal input across text, image and video at $0.80/$3.20: Amazon Nova Pro — Amazon's multimodal Bedrock model at $0.80/$3.20 with a 300K window — an enterprise-integrated generalist, not a frontier model — and it runs cheaper at $0.8/$3.2 per 1M tokens.
Deep AWS and Bedrock integration for enterprise pipelines: Amazon Nova Pro — Amazon Nova Pro lists deep AWS and Bedrock integration for enterprise pipelines among its strengths; GPT-5.6 Luna does not.
Balanced cost-to-capability for general business tasks: Amazon Nova Pro — At $0.8/$3.2 per 1M tokens it undercuts GPT-5.6 Luna ($1/$6 per 1M tokens), and that gap compounds at volume.
Cheapest GPT-5.6 tier for high-volume drafting and automation: GPT-5.6 Luna — The budget, high-throughput GPT-5.6 tier — built for cheap, fast, large-volume work rather than deep long-context reasoning — and it carries the larger 1M context.
Fast, affordable execution while keeping respectable coding: GPT-5.6 Luna — Amazon Nova Pro is comparatively weak here — not a frontier reasoning or coding model against 2026 flagships
Same 1M context and programmatic tool calling as its siblings: GPT-5.6 Luna — Its 1M window holds about 3.3× more than Amazon Nova Pro's 300K in a single prompt.
Lowest cost at scale: Amazon Nova Pro — At $0.8/$3.2 per 1M tokens, it is the cheaper of the two — the gap dominates the bill on high-volume workloads.
Largest single-prompt input: GPT-5.6 Luna — Its 1M window is about 3.3× larger than Amazon Nova Pro's 300K, fitting roughly 1,500 pages in one prompt.
Which should you pick?
A cost-sensitive startup shipping high volume: Amazon Nova Pro — At $0.8/$3.2 per 1M tokens it undercuts GPT-5.6 Luna, and on millions of tokens that margin decides the monthly bill.
Someone analysing very long documents or codebases: GPT-5.6 Luna — Larger 1M window fits more in one prompt.
Anyone whose priority is multimodal input across text, image and video at $0.80/$3.20: Amazon Nova Pro — It is specifically built for that.
Anyone whose priority is cheapest gpt-5.6 tier for high-volume drafting and automation: GPT-5.6 Luna — That is its strongest area.
Amazon Nova Pro: where it fits
Amazon's multimodal Bedrock model at $0.80/$3.20 with a 300K window — an enterprise-integrated generalist, not a frontier model. Released December 5, 2024 by Amazon, it is built for multimodal input across text, image and video at $0.80/$3.20, deep AWS and Bedrock integration for enterprise pipelines, balanced cost-to-capability for general business tasks, and a 300K context for long documents and mixed media.
Its trade-offs are real: not a frontier reasoning or coding model against 2026 flagships, no published SWE-Bench Verified score, best value is realised inside the AWS ecosystem, and late-2024 model — older than most of the field here. At $0.8 in / $3.2 out per million tokens, it sits in the budget price band.
GPT-5.6 Luna: where it fits
The budget, high-throughput GPT-5.6 tier — built for cheap, fast, large-volume work rather than deep long-context reasoning. Released July 9, 2026 by OpenAI, it is built for cheapest GPT-5.6 tier for high-volume drafting and automation, fast, affordable execution while keeping respectable coding, same 1M context and programmatic tool calling as its siblings, and high-throughput simple agentic jobs.
Its trade-offs: weak long-context recall deep in its 1M window (MRCR far below Sol), and lowest raw capability of the three GPT-5.6 tiers; no open weights. At $1 in / $6 out per million tokens, it sits in the budget price band.
The bottom line for this matchup
Amazon Nova Pro and GPT-5.6 Luna overlap enough that the right pick depends on your specific job. Amazon Nova Pro costs less per token; GPT-5.6 Luna holds the larger context; and each leads in its own area — Amazon Nova Pro for multimodal input across text, image and video at $0.80/$3.20, GPT-5.6 Luna for cheapest gpt-5.6 tier for high-volume drafting and automation. Rather than crowning one, run the same hard task through both once and let the results decide.
Frequently asked questions
Is Amazon Nova Pro or GPT-5.6 Luna 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 Pro leans toward multimodal input across text, image and video at $0.80/$3.20 while GPT-5.6 Luna leans toward cheapest gpt-5.6 tier for high-volume drafting and automation, and that positioning usually predicts which feels better on your codebase.
Which is cheaper, Amazon Nova Pro or GPT-5.6 Luna?
Amazon Nova Pro is cheaper — $0.8/$3.2 per 1M tokens vs $1/$6 per 1M tokens, roughly 1.3× apart on input.
Which has the bigger context window?
GPT-5.6 Luna — 1M vs 300K, about 3.3× larger. Useful only if the model actually reasons over the full window, which not all do.
Can I use both Amazon Nova Pro and GPT-5.6 Luna together?
Yes — a multi-model platform like LumiChats gives you Amazon Nova Pro, GPT-5.6 Luna 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 Pro or GPT-5.6 Luna?
GPT-5.6 Luna — released July 9, 2026, about 19 months after Amazon Nova Pro.
Amazon Nova Pro vs GPT-5.6 Luna
Amazon · US | OpenAI · US · Updated June 2026
Quick verdict
Pick Amazon Nova Pro for multimodal input across text, image and video at $0.80/$3.20 or deep aws and bedrock integration for enterprise pipelines. Pick GPT-5.6 Luna for cheapest gpt-5.6 tier for high-volume drafting and automation or fast, affordable execution while keeping respectable coding. On a tight budget at scale, Amazon Nova Pro is the value pick.
Amazon Nova Pro (Amazon) and GPT-5.6 Luna (OpenAI) are two of the models people most often weigh against each other in 2026. Amazon Nova Pro is amazon's multimodal Bedrock model at $0.80/$3.20 with a 300K window — an enterprise-integrated generalist, not a frontier model. GPT-5.6 Luna is the budget, high-throughput GPT-5.6 tier — built for cheap, fast, large-volume work rather than deep long-context reasoning. They diverge most on price and context window — each quantified below from the models' real specs.
Key differences at a glance
▸Price: nearly identical — $0.8/$3.2 per 1M tokens vs $1/$6 per 1M tokens. Cost will not be the deciding factor here.
▸Context window: GPT-5.6 Luna holds 3.3× more — 1M (~1,500 pages) vs 300K (~450 pages). But effective recall usually fades long before the advertised ceiling, so the bigger number only helps if the model reasons over it.
▸Recency: GPT-5.6 Luna is the newer model by about 19 months (released July 9, 2026), usually meaning fresher training data and capabilities.
Side-by-side specs
Spec
Amazon Nova Pro
GPT-5.6 Luna
Provider
Amazon (US)
OpenAI (US)
Released
December 5, 2024
July 9, 2026
Context window
300K (~450 pages)
1M (~1,500 pages)
Price (in/out)
$0.8/$3.2 per 1M tokens
$1/$6 per 1M tokens
Open weight?
No — API only
No — API only
Modalities
text, image, video, code
text, image, code
SWE-Bench Verified
Not published
Not published
MRCR v2 @ 1M
Not published
Not published
Who wins what
Multimodal input across text, image and video at $0.80/$3.20
Amazon Nova Pro
Amazon's multimodal Bedrock model at $0.80/$3.20 with a 300K window — an enterprise-integrated generalist, not a frontier model — and it runs cheaper at $0.8/$3.2 per 1M tokens.
Deep AWS and Bedrock integration for enterprise pipelines
Amazon Nova Pro
Amazon Nova Pro lists deep AWS and Bedrock integration for enterprise pipelines among its strengths; GPT-5.6 Luna does not.
Balanced cost-to-capability for general business tasks
Amazon Nova Pro
At $0.8/$3.2 per 1M tokens it undercuts GPT-5.6 Luna ($1/$6 per 1M tokens), and that gap compounds at volume.
Cheapest GPT-5.6 tier for high-volume drafting and automation
GPT-5.6 Luna
The budget, high-throughput GPT-5.6 tier — built for cheap, fast, large-volume work rather than deep long-context reasoning — and it carries the larger 1M context.
Fast, affordable execution while keeping respectable coding
GPT-5.6 Luna
Amazon Nova Pro is comparatively weak here — not a frontier reasoning or coding model against 2026 flagships
Same 1M context and programmatic tool calling as its siblings
GPT-5.6 Luna
Its 1M window holds about 3.3× more than Amazon Nova Pro's 300K in a single prompt.
Lowest cost at scale
Amazon Nova Pro
At $0.8/$3.2 per 1M tokens, it is the cheaper of the two — the gap dominates the bill on high-volume workloads.
Largest single-prompt input
GPT-5.6 Luna
Its 1M window is about 3.3× larger than Amazon Nova Pro's 300K, fitting roughly 1,500 pages in one prompt.
Which should you pick?
A cost-sensitive startup shipping high volume
→ Amazon Nova Pro
At $0.8/$3.2 per 1M tokens it undercuts GPT-5.6 Luna, and on millions of tokens that margin decides the monthly bill.
Someone analysing very long documents or codebases
→ GPT-5.6 Luna
Larger 1M window fits more in one prompt.
Anyone whose priority is multimodal input across text, image and video at $0.80/$3.20
→ Amazon Nova Pro
It is specifically built for that.
Anyone whose priority is cheapest gpt-5.6 tier for high-volume drafting and automation
→ GPT-5.6 Luna
That is its strongest area.
Amazon Nova Pro: where it fits
Amazon's multimodal Bedrock model at $0.80/$3.20 with a 300K window — an enterprise-integrated generalist, not a frontier model. Released December 5, 2024 by Amazon, it is built for multimodal input across text, image and video at $0.80/$3.20, deep AWS and Bedrock integration for enterprise pipelines, balanced cost-to-capability for general business tasks, and a 300K context for long documents and mixed media.
Its trade-offs are real: not a frontier reasoning or coding model against 2026 flagships, no published SWE-Bench Verified score, best value is realised inside the AWS ecosystem, and late-2024 model — older than most of the field here. At $0.8 in / $3.2 out per million tokens, it sits in the budget price band.
GPT-5.6 Luna: where it fits
The budget, high-throughput GPT-5.6 tier — built for cheap, fast, large-volume work rather than deep long-context reasoning. Released July 9, 2026 by OpenAI, it is built for cheapest GPT-5.6 tier for high-volume drafting and automation, fast, affordable execution while keeping respectable coding, same 1M context and programmatic tool calling as its siblings, and high-throughput simple agentic jobs.
Its trade-offs: weak long-context recall deep in its 1M window (MRCR far below Sol), and lowest raw capability of the three GPT-5.6 tiers; no open weights. At $1 in / $6 out per million tokens, it sits in the budget price band.
The bottom line for this matchup
Amazon Nova Pro and GPT-5.6 Luna overlap enough that the right pick depends on your specific job. Amazon Nova Pro costs less per token; GPT-5.6 Luna holds the larger context; and each leads in its own area — Amazon Nova Pro for multimodal input across text, image and video at $0.80/$3.20, GPT-5.6 Luna for cheapest gpt-5.6 tier for high-volume drafting and automation. Rather than crowning one, run the same hard task through both once and let the results decide.
Want both Amazon Nova Pro and GPT-5.6 Luna 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 Pro or GPT-5.6 Luna 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 Pro leans toward multimodal input across text, image and video at $0.80/$3.20 while GPT-5.6 Luna leans toward cheapest gpt-5.6 tier for high-volume drafting and automation, and that positioning usually predicts which feels better on your codebase.
Which is cheaper, Amazon Nova Pro or GPT-5.6 Luna?
Amazon Nova Pro is cheaper — $0.8/$3.2 per 1M tokens vs $1/$6 per 1M tokens, roughly 1.3× apart on input.
Which has the bigger context window?
GPT-5.6 Luna — 1M vs 300K, about 3.3× larger. Useful only if the model actually reasons over the full window, which not all do.
Can I use both Amazon Nova Pro and GPT-5.6 Luna together?
Yes — a multi-model platform like LumiChats gives you Amazon Nova Pro, GPT-5.6 Luna 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 Pro or GPT-5.6 Luna?
GPT-5.6 Luna — released July 9, 2026, about 19 months after Amazon Nova Pro.
Specifications and benchmarks reflect publicly reported figures as of June 2026 and may change as providers release updates. Always verify on your own workload.