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 Gemini 3.6 Flash for high-volume, cost-sensitive work — google says it uses about 17% fewer output tokens than 3.5 flash or multimodal input across text, image and video at a 1m-token window. On a tight budget at scale, Amazon Nova Pro is the value pick.
Amazon Nova Pro (Amazon) and Gemini 3.6 Flash (Google) 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. Gemini 3.6 Flash is google's July 2026 workhorse Flash model at $1.50/$7.50 with a 1M window — tuned for cheap, high-volume multimodal work over benchmark peaks. They diverge most on price and context window — each quantified below from the models' real specs.
Key differences
Price: Amazon Nova Pro is about 1.9× cheaper on input ($0.8/$3.2 per 1M tokens vs $1.5/$7.5 per 1M tokens) — modest, but it adds up at steady volume.
Context window: Gemini 3.6 Flash holds 3.5× more — 1M (~1,573 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: Gemini 3.6 Flash is the newer model by about 20 months (released July 21, 2026), usually meaning fresher training data and capabilities.
Specifications
Spec
Amazon Nova Pro
Gemini 3.6 Flash
Provider
Amazon (US)
Google (US)
Released
December 5, 2024
July 21, 2026
Context window
300K (~450 pages)
1M (~1,573 pages)
Price (in/out)
$0.8/$3.2 per 1M tokens
$1.5/$7.5 per 1M tokens
Open weight?
No — API only
No — API only
Modalities
text, image, video, code
text, image, video, 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; Gemini 3.6 Flash does not.
Balanced cost-to-capability for general business tasks: Amazon Nova Pro — At $0.8/$3.2 per 1M tokens it undercuts Gemini 3.6 Flash ($1.5/$7.5 per 1M tokens), and that gap compounds at volume.
High-volume, cost-sensitive work — Google says it uses about 17% fewer output tokens than 3.5 Flash: Gemini 3.6 Flash — Its 1M window holds about 3.5× more than Amazon Nova Pro's 300K in a single prompt.
Multimodal input across text, image and video at a 1M-token window: Gemini 3.6 Flash — Google's July 2026 workhorse Flash model at $1.50/$7.50 with a 1M window — tuned for cheap, high-volume multimodal work over benchmark peaks — and it carries the larger 1M context.
Fast, cheap general assistance — the model behind much of Gemini's billion-plus Search reach: Gemini 3.6 Flash — Amazon Nova Pro is comparatively weak here — not a frontier reasoning or coding model against 2026 flagships
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: Gemini 3.6 Flash — Its 1M window is about 3.5× larger than Amazon Nova Pro's 300K, fitting roughly 1,573 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 Gemini 3.6 Flash, and on millions of tokens that margin decides the monthly bill.
Someone analysing very long documents or codebases: Gemini 3.6 Flash — 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 high-volume, cost-sensitive work — google says it uses about 17% fewer output tokens than 3.5 flash: Gemini 3.6 Flash — 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.
Gemini 3.6 Flash: where it fits
Google's July 2026 workhorse Flash model at $1.50/$7.50 with a 1M window — tuned for cheap, high-volume multimodal work over benchmark peaks. Released July 21, 2026 by Google, it is built for high-volume, cost-sensitive work — Google says it uses about 17% fewer output tokens than 3.5 Flash, multimodal input across text, image and video at a 1M-token window, fast, cheap general assistance — the model behind much of Gemini's billion-plus Search reach, and strong price-to-capability for everyday tasks rather than frontier reasoning.
Its trade-offs: a Flash-tier model — not built to top reasoning or coding leaderboards against flagships, google reports SWE-Bench Pro rather than SWE-Bench Verified, so coding comparisons are not apples-to-apples, cheaper 3.5 Flash-Lite undercuts it when you do not need the extra capability, and google held its 3.5 Pro flagship back as not ready, so the Flash line is carrying the release. At $1.5 in / $7.5 out per million tokens, it sits in the mid price band.
The bottom line for this matchup
Amazon Nova Pro and Gemini 3.6 Flash overlap enough that the right pick depends on your specific job. Amazon Nova Pro costs less per token; Gemini 3.6 Flash 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, Gemini 3.6 Flash for high-volume, cost-sensitive work — google says it uses about 17% fewer output tokens than 3.5 flash. 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 Gemini 3.6 Flash 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 Gemini 3.6 Flash leans toward high-volume, cost-sensitive work — google says it uses about 17% fewer output tokens than 3.5 flash, and that positioning usually predicts which feels better on your codebase.
Which is cheaper, Amazon Nova Pro or Gemini 3.6 Flash?
Amazon Nova Pro is cheaper — $0.8/$3.2 per 1M tokens vs $1.5/$7.5 per 1M tokens, roughly 1.9× apart on input.
Which has the bigger context window?
Gemini 3.6 Flash — 1M vs 300K, about 3.5× larger. Useful only if the model actually reasons over the full window, which not all do.
Can I use both Amazon Nova Pro and Gemini 3.6 Flash together?
Yes — a multi-model platform like LumiChats gives you Amazon Nova Pro, Gemini 3.6 Flash 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 Gemini 3.6 Flash?
Gemini 3.6 Flash — released July 21, 2026, about 20 months after Amazon Nova Pro.
Amazon Nova Pro vs Gemini 3.6 Flash
Amazon · US | Google · 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 Gemini 3.6 Flash for high-volume, cost-sensitive work — google says it uses about 17% fewer output tokens than 3.5 flash or multimodal input across text, image and video at a 1m-token window. On a tight budget at scale, Amazon Nova Pro is the value pick.
Amazon Nova Pro (Amazon) and Gemini 3.6 Flash (Google) 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. Gemini 3.6 Flash is google's July 2026 workhorse Flash model at $1.50/$7.50 with a 1M window — tuned for cheap, high-volume multimodal work over benchmark peaks. They diverge most on price and context window — each quantified below from the models' real specs.
Key differences at a glance
▸Price: Amazon Nova Pro is about 1.9× cheaper on input ($0.8/$3.2 per 1M tokens vs $1.5/$7.5 per 1M tokens) — modest, but it adds up at steady volume.
▸Context window: Gemini 3.6 Flash holds 3.5× more — 1M (~1,573 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: Gemini 3.6 Flash is the newer model by about 20 months (released July 21, 2026), usually meaning fresher training data and capabilities.
Side-by-side specs
Spec
Amazon Nova Pro
Gemini 3.6 Flash
Provider
Amazon (US)
Google (US)
Released
December 5, 2024
July 21, 2026
Context window
300K (~450 pages)
1M (~1,573 pages)
Price (in/out)
$0.8/$3.2 per 1M tokens
$1.5/$7.5 per 1M tokens
Open weight?
No — API only
No — API only
Modalities
text, image, video, code
text, image, video, 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; Gemini 3.6 Flash does not.
Balanced cost-to-capability for general business tasks
Amazon Nova Pro
At $0.8/$3.2 per 1M tokens it undercuts Gemini 3.6 Flash ($1.5/$7.5 per 1M tokens), and that gap compounds at volume.
High-volume, cost-sensitive work — Google says it uses about 17% fewer output tokens than 3.5 Flash
Gemini 3.6 Flash
Its 1M window holds about 3.5× more than Amazon Nova Pro's 300K in a single prompt.
Multimodal input across text, image and video at a 1M-token window
Gemini 3.6 Flash
Google's July 2026 workhorse Flash model at $1.50/$7.50 with a 1M window — tuned for cheap, high-volume multimodal work over benchmark peaks — and it carries the larger 1M context.
Fast, cheap general assistance — the model behind much of Gemini's billion-plus Search reach
Gemini 3.6 Flash
Amazon Nova Pro is comparatively weak here — not a frontier reasoning or coding model against 2026 flagships
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
Gemini 3.6 Flash
Its 1M window is about 3.5× larger than Amazon Nova Pro's 300K, fitting roughly 1,573 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 Gemini 3.6 Flash, and on millions of tokens that margin decides the monthly bill.
Someone analysing very long documents or codebases
→ Gemini 3.6 Flash
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 high-volume, cost-sensitive work — google says it uses about 17% fewer output tokens than 3.5 flash
→ Gemini 3.6 Flash
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.
Gemini 3.6 Flash: where it fits
Google's July 2026 workhorse Flash model at $1.50/$7.50 with a 1M window — tuned for cheap, high-volume multimodal work over benchmark peaks. Released July 21, 2026 by Google, it is built for high-volume, cost-sensitive work — Google says it uses about 17% fewer output tokens than 3.5 Flash, multimodal input across text, image and video at a 1M-token window, fast, cheap general assistance — the model behind much of Gemini's billion-plus Search reach, and strong price-to-capability for everyday tasks rather than frontier reasoning.
Its trade-offs: a Flash-tier model — not built to top reasoning or coding leaderboards against flagships, google reports SWE-Bench Pro rather than SWE-Bench Verified, so coding comparisons are not apples-to-apples, cheaper 3.5 Flash-Lite undercuts it when you do not need the extra capability, and google held its 3.5 Pro flagship back as not ready, so the Flash line is carrying the release. At $1.5 in / $7.5 out per million tokens, it sits in the mid price band.
The bottom line for this matchup
Amazon Nova Pro and Gemini 3.6 Flash overlap enough that the right pick depends on your specific job. Amazon Nova Pro costs less per token; Gemini 3.6 Flash 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, Gemini 3.6 Flash for high-volume, cost-sensitive work — google says it uses about 17% fewer output tokens than 3.5 flash. Rather than crowning one, run the same hard task through both once and let the results decide.
Want both Amazon Nova Pro and Gemini 3.6 Flash 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 Gemini 3.6 Flash 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 Gemini 3.6 Flash leans toward high-volume, cost-sensitive work — google says it uses about 17% fewer output tokens than 3.5 flash, and that positioning usually predicts which feels better on your codebase.
Which is cheaper, Amazon Nova Pro or Gemini 3.6 Flash?
Amazon Nova Pro is cheaper — $0.8/$3.2 per 1M tokens vs $1.5/$7.5 per 1M tokens, roughly 1.9× apart on input.
Which has the bigger context window?
Gemini 3.6 Flash — 1M vs 300K, about 3.5× larger. Useful only if the model actually reasons over the full window, which not all do.
Can I use both Amazon Nova Pro and Gemini 3.6 Flash together?
Yes — a multi-model platform like LumiChats gives you Amazon Nova Pro, Gemini 3.6 Flash 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 Gemini 3.6 Flash?
Gemini 3.6 Flash — released July 21, 2026, about 20 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.