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 3.5 Flash-Lite for the cheapest gemini tier at $0.30/$2.50 — built for the highest-volume, lowest-margin work or simple classification, extraction and routing where flagship reasoning is wasted spend. On a tight budget at scale, Gemini 3.5 Flash-Lite is the value pick.
Amazon Nova Pro (Amazon) and Gemini 3.5 Flash-Lite (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 3.5 Flash-Lite is google's cheapest July 2026 model at $0.30/$2.50 — a high-volume, low-cost Lite tier for simple work, not frontier reasoning. They diverge most on price and context window — each quantified below from the models' real specs.
Key differences
Price: Gemini 3.5 Flash-Lite is about 2.7× cheaper on input ($0.3/$2.5 per 1M tokens vs $0.8/$3.2 per 1M tokens) — meaningful once you are processing millions of tokens a month.
Context window: Gemini 3.5 Flash-Lite 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: Gemini 3.5 Flash-Lite 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 3.5 Flash-Lite
Provider
Amazon (US)
Google (US)
Released
December 5, 2024
July 21, 2026
Context window
300K (~450 pages)
1M (~1,500 pages)
Price (in/out)
$0.8/$3.2 per 1M tokens
$0.3/$2.5 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 Nova Pro lists multimodal input across text, image and video at $0.80/$3.20 among its strengths; Gemini 3.5 Flash-Lite does not.
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 3.5 Flash-Lite does not.
Balanced cost-to-capability for general business tasks: Amazon Nova Pro — Gemini 3.5 Flash-Lite is comparatively weak here — outclassed by 3.6 Flash whenever a task needs real capability rather than raw throughput
The cheapest Gemini tier at $0.30/$2.50 — built for the highest-volume, lowest-margin work: Gemini 3.5 Flash-Lite — At $0.3/$2.5 per 1M tokens it undercuts Amazon Nova Pro ($0.8/$3.2 per 1M tokens), and that gap compounds at volume.
Simple classification, extraction and routing where flagship reasoning is wasted spend: Gemini 3.5 Flash-Lite — Amazon Nova Pro is comparatively weak here — not a frontier reasoning or coding model against 2026 flagships
Latency-sensitive pipelines that call a model on every request: Gemini 3.5 Flash-Lite — Google's cheapest July 2026 model at $0.30/$2.50 — a high-volume, low-cost Lite tier for simple work, not frontier reasoning — and it runs cheaper at $0.3/$2.5 per 1M tokens.
Lowest cost at scale: Gemini 3.5 Flash-Lite — At $0.3/$2.5 per 1M tokens, it is the cheaper of the two — the gap dominates the bill on high-volume workloads.
Largest single-prompt input: Gemini 3.5 Flash-Lite — 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: Gemini 3.5 Flash-Lite — At $0.3/$2.5 per 1M tokens it undercuts Amazon Nova Pro, and on millions of tokens that margin decides the monthly bill.
Someone analysing very long documents or codebases: Gemini 3.5 Flash-Lite — 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 the cheapest gemini tier at $0.30/$2.50 — built for the highest-volume, lowest-margin work: Gemini 3.5 Flash-Lite — 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 3.5 Flash-Lite: where it fits
Google's cheapest July 2026 model at $0.30/$2.50 — a high-volume, low-cost Lite tier for simple work, not frontier reasoning. Released July 21, 2026 by Google, it is built for the cheapest Gemini tier at $0.30/$2.50 — built for the highest-volume, lowest-margin work, simple classification, extraction and routing where flagship reasoning is wasted spend, latency-sensitive pipelines that call a model on every request, and pairing with a stronger model as the cheap first pass in a cascade.
Its trade-offs: a Lite model — the weakest of the July 2026 Gemini line on hard reasoning and coding, google did not publish its exact context window, so 1M is inferred from the family, no published SWE-Bench Verified score, and outclassed by 3.6 Flash whenever a task needs real capability rather than raw throughput. At $0.3 in / $2.5 out per million tokens, it sits in the budget price band.
The bottom line for this matchup
Amazon Nova Pro and Gemini 3.5 Flash-Lite overlap enough that the right pick depends on your specific job. Gemini 3.5 Flash-Lite costs less per token; Gemini 3.5 Flash-Lite 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 3.5 Flash-Lite for the cheapest gemini tier at $0.30/$2.50 — built for the highest-volume, lowest-margin work. 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 3.5 Flash-Lite 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 3.5 Flash-Lite leans toward the cheapest gemini tier at $0.30/$2.50 — built for the highest-volume, lowest-margin work, and that positioning usually predicts which feels better on your codebase.
Which is cheaper, Amazon Nova Pro or Gemini 3.5 Flash-Lite?
Gemini 3.5 Flash-Lite is cheaper — $0.8/$3.2 per 1M tokens vs $0.3/$2.5 per 1M tokens, roughly 2.7× apart on input.
Which has the bigger context window?
Gemini 3.5 Flash-Lite — 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 Gemini 3.5 Flash-Lite together?
Yes — a multi-model platform like LumiChats gives you Amazon Nova Pro, Gemini 3.5 Flash-Lite 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 3.5 Flash-Lite?
Gemini 3.5 Flash-Lite — released July 21, 2026, about 20 months after Amazon Nova Pro.
Amazon Nova Pro vs Gemini 3.5 Flash-Lite
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 3.5 Flash-Lite for the cheapest gemini tier at $0.30/$2.50 — built for the highest-volume, lowest-margin work or simple classification, extraction and routing where flagship reasoning is wasted spend. On a tight budget at scale, Gemini 3.5 Flash-Lite is the value pick.
Amazon Nova Pro (Amazon) and Gemini 3.5 Flash-Lite (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 3.5 Flash-Lite is google's cheapest July 2026 model at $0.30/$2.50 — a high-volume, low-cost Lite tier for simple work, not frontier reasoning. They diverge most on price and context window — each quantified below from the models' real specs.
Key differences at a glance
▸Price: Gemini 3.5 Flash-Lite is about 2.7× cheaper on input ($0.3/$2.5 per 1M tokens vs $0.8/$3.2 per 1M tokens) — meaningful once you are processing millions of tokens a month.
▸Context window: Gemini 3.5 Flash-Lite 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: Gemini 3.5 Flash-Lite 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 3.5 Flash-Lite
Provider
Amazon (US)
Google (US)
Released
December 5, 2024
July 21, 2026
Context window
300K (~450 pages)
1M (~1,500 pages)
Price (in/out)
$0.8/$3.2 per 1M tokens
$0.3/$2.5 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 Nova Pro lists multimodal input across text, image and video at $0.80/$3.20 among its strengths; Gemini 3.5 Flash-Lite does not.
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 3.5 Flash-Lite does not.
Balanced cost-to-capability for general business tasks
Amazon Nova Pro
Gemini 3.5 Flash-Lite is comparatively weak here — outclassed by 3.6 Flash whenever a task needs real capability rather than raw throughput
The cheapest Gemini tier at $0.30/$2.50 — built for the highest-volume, lowest-margin work
Gemini 3.5 Flash-Lite
At $0.3/$2.5 per 1M tokens it undercuts Amazon Nova Pro ($0.8/$3.2 per 1M tokens), and that gap compounds at volume.
Simple classification, extraction and routing where flagship reasoning is wasted spend
Gemini 3.5 Flash-Lite
Amazon Nova Pro is comparatively weak here — not a frontier reasoning or coding model against 2026 flagships
Latency-sensitive pipelines that call a model on every request
Gemini 3.5 Flash-Lite
Google's cheapest July 2026 model at $0.30/$2.50 — a high-volume, low-cost Lite tier for simple work, not frontier reasoning — and it runs cheaper at $0.3/$2.5 per 1M tokens.
Lowest cost at scale
Gemini 3.5 Flash-Lite
At $0.3/$2.5 per 1M tokens, it is the cheaper of the two — the gap dominates the bill on high-volume workloads.
Largest single-prompt input
Gemini 3.5 Flash-Lite
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
→ Gemini 3.5 Flash-Lite
At $0.3/$2.5 per 1M tokens it undercuts Amazon Nova Pro, and on millions of tokens that margin decides the monthly bill.
Someone analysing very long documents or codebases
→ Gemini 3.5 Flash-Lite
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 the cheapest gemini tier at $0.30/$2.50 — built for the highest-volume, lowest-margin work
→ Gemini 3.5 Flash-Lite
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 3.5 Flash-Lite: where it fits
Google's cheapest July 2026 model at $0.30/$2.50 — a high-volume, low-cost Lite tier for simple work, not frontier reasoning. Released July 21, 2026 by Google, it is built for the cheapest Gemini tier at $0.30/$2.50 — built for the highest-volume, lowest-margin work, simple classification, extraction and routing where flagship reasoning is wasted spend, latency-sensitive pipelines that call a model on every request, and pairing with a stronger model as the cheap first pass in a cascade.
Its trade-offs: a Lite model — the weakest of the July 2026 Gemini line on hard reasoning and coding, google did not publish its exact context window, so 1M is inferred from the family, no published SWE-Bench Verified score, and outclassed by 3.6 Flash whenever a task needs real capability rather than raw throughput. At $0.3 in / $2.5 out per million tokens, it sits in the budget price band.
The bottom line for this matchup
Amazon Nova Pro and Gemini 3.5 Flash-Lite overlap enough that the right pick depends on your specific job. Gemini 3.5 Flash-Lite costs less per token; Gemini 3.5 Flash-Lite 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 3.5 Flash-Lite for the cheapest gemini tier at $0.30/$2.50 — built for the highest-volume, lowest-margin work. Rather than crowning one, run the same hard task through both once and let the results decide.
Want both Amazon Nova Pro and Gemini 3.5 Flash-Lite 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 3.5 Flash-Lite 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 3.5 Flash-Lite leans toward the cheapest gemini tier at $0.30/$2.50 — built for the highest-volume, lowest-margin work, and that positioning usually predicts which feels better on your codebase.
Which is cheaper, Amazon Nova Pro or Gemini 3.5 Flash-Lite?
Gemini 3.5 Flash-Lite is cheaper — $0.8/$3.2 per 1M tokens vs $0.3/$2.5 per 1M tokens, roughly 2.7× apart on input.
Which has the bigger context window?
Gemini 3.5 Flash-Lite — 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 Gemini 3.5 Flash-Lite together?
Yes — a multi-model platform like LumiChats gives you Amazon Nova Pro, Gemini 3.5 Flash-Lite 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 3.5 Flash-Lite?
Gemini 3.5 Flash-Lite — 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.