Amazon Nova 2 Pro vs Gemini 3.7 Flash

Amazon · US  |  Google · 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 Gemini 3.7 Flash for strong intelligence-per-dollar - artificial analysis intelligence index 56 at introductory $0.75/$3.75 pricing or 1m-token context with full multimodal input (text, image, audio, video). On a tight budget at scale, Gemini 3.7 Flash is the value pick.

Amazon Nova 2 Pro (Amazon) and Gemini 3.7 Flash (Google) 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. Gemini 3.7 Flash is google's cheap, fast coding-and-agents workhorse - AA Index 56, a 1M context, and aggressive introductory pricing that beats GPT-5.6 Terra on value and speed. 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 ProGemini 3.7 Flash
ProviderAmazon (US) Google (US)
ReleasedDecember 2, 2025 August 13, 2026
Context window1M (~1,500 pages) 1M (~1,573 pages)
Price (in/out)$2.19/$17.5 per 1M tokens $0.75/$3.75 per 1M tokens
Open weight?No — API only No — API only
Modalitiestext, image text, image, audio, video, code
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

Gemini 3.7 Flash is comparatively weak here — a fast 'workhorse,' not Google's top-intelligence model (Gemini 3.1 Pro is still the flagship)

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; Gemini 3.7 Flash 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; Gemini 3.7 Flash does not.

Strong intelligence-per-dollar - Artificial Analysis Intelligence Index 56 at introductory $0.75/$3.75 pricing

Gemini 3.7 Flash

Amazon Nova 2 Pro is comparatively weak here — pricing shown reflects preview-tier rates and may change at general availability

1M-token context with full multimodal input (text, image, audio, video)

Gemini 3.7 Flash

Google's cheap, fast coding-and-agents workhorse - AA Index 56, a 1M context, and aggressive introductory pricing that beats GPT-5.6 Terra on value and speed — and it runs cheaper at $0.75/$3.75 per 1M tokens.

Built for coding and agents, with roughly 3x faster output than GPT-5.6 Terra

Gemini 3.7 Flash

Google's cheap, fast coding-and-agents workhorse - AA Index 56, a 1M context, and aggressive introductory pricing that beats GPT-5.6 Terra on value and speed — and it is the newer of the two.

Lowest cost at scale

Gemini 3.7 Flash

At $0.75/$3.75 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

Gemini 3.7 Flash

At $0.75/$3.75 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

Gemini 3.7 Flash

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 strong intelligence-per-dollar - artificial analysis intelligence index 56 at introductory $0.75/$3.75 pricing

Gemini 3.7 Flash

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.

Gemini 3.7 Flash: where it fits

Google's cheap, fast coding-and-agents workhorse - AA Index 56, a 1M context, and aggressive introductory pricing that beats GPT-5.6 Terra on value and speed. Released August 13, 2026 by Google, it is built for strong intelligence-per-dollar - Artificial Analysis Intelligence Index 56 at introductory $0.75/$3.75 pricing, 1M-token context with full multimodal input (text, image, audio, video), built for coding and agents, with roughly 3x faster output than GPT-5.6 Terra, and wins broad-coding and web-development benchmarks against GPT-5.6 Terra.

Its trade-offs: introductory pricing ($0.75/$3.75) reverts to $1.50/$7.50 on Jan 1, 2027, trails GPT-5.6 Terra on the hardest repo-scale and terminal-agent coding, a fast 'workhorse,' not Google's top-intelligence model (Gemini 3.1 Pro is still the flagship), and some benchmark gains are Google's own figures. At $0.75 in / $3.75 out per million tokens, it sits in the budget price band.

The bottom line for this matchup

Amazon Nova 2 Pro and Gemini 3.7 Flash overlap enough that the right pick depends on your specific job. Gemini 3.7 Flash costs less per token; Gemini 3.7 Flash 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, Gemini 3.7 Flash for strong intelligence-per-dollar - artificial analysis intelligence index 56 at introductory $0.75/$3.75 pricing. Rather than crowning one, run the same hard task through both once and let the results decide.

Want both Amazon Nova 2 Pro and Gemini 3.7 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.

See pricing

Frequently asked questions

Is Amazon Nova 2 Pro or Gemini 3.7 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 2 Pro leans toward amazon's next-generation nova flagship - a 1m-token context window with selectable reasoning effort while Gemini 3.7 Flash leans toward strong intelligence-per-dollar - artificial analysis intelligence index 56 at introductory $0.75/$3.75 pricing, and that positioning usually predicts which feels better on your codebase.

Which is cheaper, Amazon Nova 2 Pro or Gemini 3.7 Flash?

Gemini 3.7 Flash is cheaper — $2.19/$17.5 per 1M tokens vs $0.75/$3.75 per 1M tokens, roughly 2.9× apart on input.

Which has the bigger context window?

Effectively neither — 1M vs 1M 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 Gemini 3.7 Flash together?

Yes — a multi-model platform like LumiChats gives you Amazon Nova 2 Pro, Gemini 3.7 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 2 Pro or Gemini 3.7 Flash?

Gemini 3.7 Flash — released August 13, 2026, about 8 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.