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 3.8 Flash for long-horizon agentic coding (deepswe v1.1) or cost-efficient workhorse performance beating larger models at same price as 3.7 flash. On a tight budget at scale, Gemini 3.8 Flash is the value pick.
Amazon Nova 2 Pro (Amazon) and Gemini 3.8 Flash (Google DeepMind) 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 3.8 Flash is google's cost-efficient workhorse model released September 2, 2026, tuned for long-horizon coding and autonomous agents, launched alongside a restricted 'Cyber' variant for vulnerability research. Their biggest split is price, and the breakdown below shows exactly how that plays out for your workload.
Key differences
Price: Gemini 3.8 Flash is about 2.9× cheaper on input ($0.75/$3.75 per 1M tokens vs $2.19/$17.5 per 1M tokens) — meaningful once you are processing millions of tokens a month.
Context window: both advertise 1M (~1,500 pages). Tie on paper — test on your own long inputs, since usable recall varies by model.
Recency: Gemini 3.8 Flash is the newer model by about 9 months (released September 2, 2026), usually meaning fresher training data and capabilities.
Specifications
Spec
Amazon Nova 2 Pro
Gemini 3.8 Flash
Provider
Amazon (US)
Google DeepMind (US)
Released
December 2, 2025
September 2, 2026
Context window
1M (~1,500 pages)
1M tokens (~1,500 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
Modalities
text, image
text, image, audio, video
SWE-Bench Verified
Not published
Not published
MRCR v2 @ 1M
Not 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 3.8 Flash is comparatively weak here — still a mid-tier 'Flash' model, not Google's frontier flagship (which remains unreleased)
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 3.8 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 3.8 Flash does not.
Long-horizon agentic coding (DeepSWE v1.1): Gemini 3.8 Flash — Google's cost-efficient workhorse model released September 2, 2026, tuned for long-horizon coding and autonomous agents, launched alongside a restricted 'Cyber' variant for vulnerability research — and it runs cheaper at $0.75/$3.75 per 1M tokens.
Cost-efficient workhorse performance beating larger models at same price as 3.7 Flash: Gemini 3.8 Flash — At $0.75/$3.75 per 1M tokens it undercuts Amazon Nova 2 Pro ($2.19/$17.5 per 1M tokens), and that gap compounds at volume.
Vals Finance Agent V2 benchmark (61.4%, ahead of Claude Opus 5's 58.6%); also leads a weak field on the Harvey legal benchmark (10.0%): Gemini 3.8 Flash — Amazon Nova 2 Pro is comparatively weak here — amazon's Nova line has historically scored below independent-intelligence leaders like Claude, GPT, and Gemini
Lowest cost at scale: Gemini 3.8 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 3.8 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.
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 long-horizon agentic coding (deepswe v1.1): Gemini 3.8 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 3.8 Flash: where it fits
Google's cost-efficient workhorse model released September 2, 2026, tuned for long-horizon coding and autonomous agents, launched alongside a restricted 'Cyber' variant for vulnerability research. Released September 2, 2026 by Google DeepMind, it is built for long-horizon agentic coding (DeepSWE v1.1), cost-efficient workhorse performance beating larger models at same price as 3.7 Flash, vals Finance Agent V2 benchmark (61.4%, ahead of Claude Opus 5's 58.6%); also leads a weak field on the Harvey legal benchmark (10.0%), and prompt-injection robustness (Gray Swan benchmark).
Its trade-offs: still a mid-tier 'Flash' model, not Google's frontier flagship (which remains unreleased), introductory price doubles on January 1, 2027, hLE-Verified score (54.9%) trails top frontier reasoning models, and built on the same base model as Gemini 3.7 Flash (a post-training update, not a freshly pretrained model). 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 3.8 Flash overlap enough that the right pick depends on your specific job. Gemini 3.8 Flash costs less per token; 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 3.8 Flash for long-horizon agentic coding (deepswe v1.1). Rather than crowning one, run the same hard task through both once and let the results decide.
Frequently asked questions
Is Amazon Nova 2 Pro or Gemini 3.8 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 3.8 Flash leans toward long-horizon agentic coding (deepswe v1.1), and that positioning usually predicts which feels better on your codebase.
Which is cheaper, Amazon Nova 2 Pro or Gemini 3.8 Flash?
Gemini 3.8 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?
Both advertise 1M (~1,500 pages). Remember advertised ≠ usable: recall typically degrades before the ceiling.
Can I use both Amazon Nova 2 Pro and Gemini 3.8 Flash together?
Yes — a multi-model platform like LumiChats gives you Amazon Nova 2 Pro, Gemini 3.8 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 3.8 Flash?
Gemini 3.8 Flash — released September 2, 2026, about 9 months after Amazon Nova 2 Pro.
Amazon Nova 2 Pro vs Gemini 3.8 Flash
Amazon · US | Google DeepMind · 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 3.8 Flash for long-horizon agentic coding (deepswe v1.1) or cost-efficient workhorse performance beating larger models at same price as 3.7 flash. On a tight budget at scale, Gemini 3.8 Flash is the value pick.
Amazon Nova 2 Pro (Amazon) and Gemini 3.8 Flash (Google DeepMind) 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 3.8 Flash is google's cost-efficient workhorse model released September 2, 2026, tuned for long-horizon coding and autonomous agents, launched alongside a restricted 'Cyber' variant for vulnerability research. Their biggest split is price, and the breakdown below shows exactly how that plays out for your workload.
Key differences at a glance
▸Price: Gemini 3.8 Flash is about 2.9× cheaper on input ($0.75/$3.75 per 1M tokens vs $2.19/$17.5 per 1M tokens) — meaningful once you are processing millions of tokens a month.
▸Context window: both advertise 1M (~1,500 pages). Tie on paper — test on your own long inputs, since usable recall varies by model.
▸Recency: Gemini 3.8 Flash is the newer model by about 9 months (released September 2, 2026), usually meaning fresher training data and capabilities.
Side-by-side specs
Spec
Amazon Nova 2 Pro
Gemini 3.8 Flash
Provider
Amazon (US)
Google DeepMind (US)
Released
December 2, 2025
September 2, 2026
Context window
1M (~1,500 pages)
1M tokens (~1,500 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
Modalities
text, image
text, image, audio, video
SWE-Bench Verified
Not published
Not published
MRCR v2 @ 1M
Not 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 3.8 Flash is comparatively weak here — still a mid-tier 'Flash' model, not Google's frontier flagship (which remains unreleased)
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 3.8 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 3.8 Flash does not.
Long-horizon agentic coding (DeepSWE v1.1)
Gemini 3.8 Flash
Google's cost-efficient workhorse model released September 2, 2026, tuned for long-horizon coding and autonomous agents, launched alongside a restricted 'Cyber' variant for vulnerability research — and it runs cheaper at $0.75/$3.75 per 1M tokens.
Cost-efficient workhorse performance beating larger models at same price as 3.7 Flash
Gemini 3.8 Flash
At $0.75/$3.75 per 1M tokens it undercuts Amazon Nova 2 Pro ($2.19/$17.5 per 1M tokens), and that gap compounds at volume.
Vals Finance Agent V2 benchmark (61.4%, ahead of Claude Opus 5's 58.6%); also leads a weak field on the Harvey legal benchmark (10.0%)
Gemini 3.8 Flash
Amazon Nova 2 Pro is comparatively weak here — amazon's Nova line has historically scored below independent-intelligence leaders like Claude, GPT, and Gemini
Lowest cost at scale
Gemini 3.8 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 3.8 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.
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 long-horizon agentic coding (deepswe v1.1)
→ Gemini 3.8 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 3.8 Flash: where it fits
Google's cost-efficient workhorse model released September 2, 2026, tuned for long-horizon coding and autonomous agents, launched alongside a restricted 'Cyber' variant for vulnerability research. Released September 2, 2026 by Google DeepMind, it is built for long-horizon agentic coding (DeepSWE v1.1), cost-efficient workhorse performance beating larger models at same price as 3.7 Flash, vals Finance Agent V2 benchmark (61.4%, ahead of Claude Opus 5's 58.6%); also leads a weak field on the Harvey legal benchmark (10.0%), and prompt-injection robustness (Gray Swan benchmark).
Its trade-offs: still a mid-tier 'Flash' model, not Google's frontier flagship (which remains unreleased), introductory price doubles on January 1, 2027, hLE-Verified score (54.9%) trails top frontier reasoning models, and built on the same base model as Gemini 3.7 Flash (a post-training update, not a freshly pretrained model). 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 3.8 Flash overlap enough that the right pick depends on your specific job. Gemini 3.8 Flash costs less per token; 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 3.8 Flash for long-horizon agentic coding (deepswe v1.1). 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 3.8 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 2 Pro or Gemini 3.8 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 3.8 Flash leans toward long-horizon agentic coding (deepswe v1.1), and that positioning usually predicts which feels better on your codebase.
Which is cheaper, Amazon Nova 2 Pro or Gemini 3.8 Flash?
Gemini 3.8 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?
Both advertise 1M (~1,500 pages). Remember advertised ≠ usable: recall typically degrades before the ceiling.
Can I use both Amazon Nova 2 Pro and Gemini 3.8 Flash together?
Yes — a multi-model platform like LumiChats gives you Amazon Nova 2 Pro, Gemini 3.8 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 3.8 Flash?
Gemini 3.8 Flash — released September 2, 2026, about 9 months after Amazon Nova 2 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.