Pick Amazon Nova Premier for 1m-token context with deep aws bedrock integration or amazon's most capable nova model, positioned as a 'teacher' for distilling smaller models. Pick Gemini 3.1 Pro for full multimodal input — text, image, audio and video in one 1m-token window or long video and document analysis. On a tight budget at scale, Gemini 3.1 Pro is the value pick.
Amazon Nova Premier (Amazon) and Gemini 3.1 Pro (Google) are two of the models people most often weigh against each other in 2026. Amazon Nova Premier is amazon's flagship 1M-context Nova model on AWS Bedrock - a useful ecosystem anchor and distillation teacher, but weak and pricey on independent intelligence. Gemini 3.1 Pro is a 1M-token multimodal workhorse — huge breadth across text, image, audio and video, but recall fades deep in the window. They diverge most on price and context window — each quantified below from the models' real specs.
Key differences
Price: nearly identical — $2.5/$12.5 per 1M tokens vs $2/$12 per 1M tokens. Cost will not be the deciding factor here.
Context window: 1M vs 1M — within a few percent of each other, so treat this as a tie and test on your own long inputs, since usable recall varies by model.
Recency: Gemini 3.1 Pro is the newer model by about 10 months (released February 19, 2026), usually meaning fresher training data and capabilities.
Specifications
Spec
Amazon Nova Premier
Gemini 3.1 Pro
Provider
Amazon (US)
Google (US)
Released
April 30, 2025
February 19, 2026
Context window
1M (~1,500 pages)
1M (~1,573 pages)
Price (in/out)
$2.5/$12.5 per 1M tokens
$2/$12 per 1M tokens
Open weight?
No — API only
No — API only
Modalities
text, image
text, image, audio, video, code
SWE-Bench Verified
Not published
Not published
MRCR v2 @ 1M
Not published
26.3%
Who wins what
1M-token context with deep AWS Bedrock integration: Amazon Nova Premier — Gemini 3.1 Pro is comparatively weak here — long-context recall drops sharply past 256K (26.3% on MRCR v2 at 1M)
Amazon's most capable Nova model, positioned as a 'teacher' for distilling smaller models: Amazon Nova Premier — Amazon Nova Premier lists amazon's most capable Nova model, positioned as a 'teacher' for distilling smaller models among its strengths; Gemini 3.1 Pro does not.
A natural fit for teams already building on AWS: Amazon Nova Premier — Amazon Nova Premier lists a natural fit for teams already building on AWS among its strengths; Gemini 3.1 Pro does not.
Full multimodal input — text, image, audio and video in one 1M-token window: Gemini 3.1 Pro — Amazon Nova Premier is comparatively weak here — expensive for its score at $2.50/$12.50 per million tokens
Long video and document analysis: Gemini 3.1 Pro — Amazon Nova Premier is comparatively weak here — weak on independent intelligence - Artificial Analysis Intelligence Index of 13, below average for its tier
Agentic reasoning (high ARC-AGI-2): Gemini 3.1 Pro — A 1M-token multimodal workhorse — huge breadth across text, image, audio and video, but recall fades deep in the window — and it runs cheaper at $2/$12 per 1M tokens.
Lowest cost at scale: Gemini 3.1 Pro — At $2/$12 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 3.1 Pro — At $2/$12 per 1M tokens it undercuts Amazon Nova Premier, and on millions of tokens that margin decides the monthly bill.
Someone analysing very long documents or codebases: Gemini 3.1 Pro — Larger 1M window fits more in one prompt.
Anyone whose priority is 1m-token context with deep aws bedrock integration: Amazon Nova Premier — It is specifically built for that.
Anyone whose priority is full multimodal input — text, image, audio and video in one 1m-token window: Gemini 3.1 Pro — That is its strongest area.
Amazon Nova Premier: where it fits
Amazon's flagship 1M-context Nova model on AWS Bedrock - a useful ecosystem anchor and distillation teacher, but weak and pricey on independent intelligence. Released April 30, 2025 by Amazon, it is built for 1M-token context with deep AWS Bedrock integration, amazon's most capable Nova model, positioned as a 'teacher' for distilling smaller models, a natural fit for teams already building on AWS, and multimodal input for complex reasoning across text and images.
Its trade-offs are real: weak on independent intelligence - Artificial Analysis Intelligence Index of 13, below average for its tier, expensive for its score at $2.50/$12.50 per million tokens, a 2025 model - older than the 2026 frontier it competes against, and sources disagree on modalities (Amazon cites image input; some evaluations list text-only). At $2.5 in / $12.5 out per million tokens, it sits in the mid price band.
Gemini 3.1 Pro: where it fits
A 1M-token multimodal workhorse — huge breadth across text, image, audio and video, but recall fades deep in the window. Released February 19, 2026 by Google, it is built for full multimodal input — text, image, audio and video in one 1M-token window, long video and document analysis, agentic reasoning (high ARC-AGI-2), and broad multimodal understanding across formats.
Its trade-offs: long-context recall drops sharply past 256K (26.3% on MRCR v2 at 1M), premium price per token at $2/$12, and superseded within Google's own line by the newer 3.5/3.6 Flash releases for cost-sensitive work. At $2 in / $12 out per million tokens, it sits in the mid price band.
The bottom line for this matchup
Amazon Nova Premier and Gemini 3.1 Pro overlap enough that the right pick depends on your specific job. Gemini 3.1 Pro costs less per token; Gemini 3.1 Pro holds the larger context; and each leads in its own area — Amazon Nova Premier for 1m-token context with deep aws bedrock integration, Gemini 3.1 Pro for full multimodal input — text, image, audio and video in one 1m-token window. Rather than crowning one, run the same hard task through both once and let the results decide.
Frequently asked questions
Is Amazon Nova Premier or Gemini 3.1 Pro 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 Premier leans toward 1m-token context with deep aws bedrock integration while Gemini 3.1 Pro leans toward full multimodal input — text, image, audio and video in one 1m-token window, and that positioning usually predicts which feels better on your codebase.
Which is cheaper, Amazon Nova Premier or Gemini 3.1 Pro?
Gemini 3.1 Pro is cheaper — $2.5/$12.5 per 1M tokens vs $2/$12 per 1M tokens, roughly 1.3× 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 Premier and Gemini 3.1 Pro together?
Yes — a multi-model platform like LumiChats gives you Amazon Nova Premier, Gemini 3.1 Pro 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 Premier or Gemini 3.1 Pro?
Gemini 3.1 Pro — released February 19, 2026, about 10 months after Amazon Nova Premier.
Amazon Nova Premier vs Gemini 3.1 Pro
Amazon · US | Google · US · Updated June 2026
Quick verdict
Pick Amazon Nova Premier for 1m-token context with deep aws bedrock integration or amazon's most capable nova model, positioned as a 'teacher' for distilling smaller models. Pick Gemini 3.1 Pro for full multimodal input — text, image, audio and video in one 1m-token window or long video and document analysis. On a tight budget at scale, Gemini 3.1 Pro is the value pick.
Amazon Nova Premier (Amazon) and Gemini 3.1 Pro (Google) are two of the models people most often weigh against each other in 2026. Amazon Nova Premier is amazon's flagship 1M-context Nova model on AWS Bedrock - a useful ecosystem anchor and distillation teacher, but weak and pricey on independent intelligence. Gemini 3.1 Pro is a 1M-token multimodal workhorse — huge breadth across text, image, audio and video, but recall fades deep in the window. They diverge most on price and context window — each quantified below from the models' real specs.
Key differences at a glance
▸Price: nearly identical — $2.5/$12.5 per 1M tokens vs $2/$12 per 1M tokens. Cost will not be the deciding factor here.
▸Context window: 1M vs 1M — within a few percent of each other, so treat this as a tie and test on your own long inputs, since usable recall varies by model.
▸Recency: Gemini 3.1 Pro is the newer model by about 10 months (released February 19, 2026), usually meaning fresher training data and capabilities.
Side-by-side specs
Spec
Amazon Nova Premier
Gemini 3.1 Pro
Provider
Amazon (US)
Google (US)
Released
April 30, 2025
February 19, 2026
Context window
1M (~1,500 pages)
1M (~1,573 pages)
Price (in/out)
$2.5/$12.5 per 1M tokens
$2/$12 per 1M tokens
Open weight?
No — API only
No — API only
Modalities
text, image
text, image, audio, video, code
SWE-Bench Verified
Not published
Not published
MRCR v2 @ 1M
Not published
26.3%
Who wins what
1M-token context with deep AWS Bedrock integration
Amazon Nova Premier
Gemini 3.1 Pro is comparatively weak here — long-context recall drops sharply past 256K (26.3% on MRCR v2 at 1M)
Amazon's most capable Nova model, positioned as a 'teacher' for distilling smaller models
Amazon Nova Premier
Amazon Nova Premier lists amazon's most capable Nova model, positioned as a 'teacher' for distilling smaller models among its strengths; Gemini 3.1 Pro does not.
A natural fit for teams already building on AWS
Amazon Nova Premier
Amazon Nova Premier lists a natural fit for teams already building on AWS among its strengths; Gemini 3.1 Pro does not.
Full multimodal input — text, image, audio and video in one 1M-token window
Gemini 3.1 Pro
Amazon Nova Premier is comparatively weak here — expensive for its score at $2.50/$12.50 per million tokens
Long video and document analysis
Gemini 3.1 Pro
Amazon Nova Premier is comparatively weak here — weak on independent intelligence - Artificial Analysis Intelligence Index of 13, below average for its tier
Agentic reasoning (high ARC-AGI-2)
Gemini 3.1 Pro
A 1M-token multimodal workhorse — huge breadth across text, image, audio and video, but recall fades deep in the window — and it runs cheaper at $2/$12 per 1M tokens.
Lowest cost at scale
Gemini 3.1 Pro
At $2/$12 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 3.1 Pro
At $2/$12 per 1M tokens it undercuts Amazon Nova Premier, and on millions of tokens that margin decides the monthly bill.
Someone analysing very long documents or codebases
→ Gemini 3.1 Pro
Larger 1M window fits more in one prompt.
Anyone whose priority is 1m-token context with deep aws bedrock integration
→ Amazon Nova Premier
It is specifically built for that.
Anyone whose priority is full multimodal input — text, image, audio and video in one 1m-token window
→ Gemini 3.1 Pro
That is its strongest area.
Amazon Nova Premier: where it fits
Amazon's flagship 1M-context Nova model on AWS Bedrock - a useful ecosystem anchor and distillation teacher, but weak and pricey on independent intelligence. Released April 30, 2025 by Amazon, it is built for 1M-token context with deep AWS Bedrock integration, amazon's most capable Nova model, positioned as a 'teacher' for distilling smaller models, a natural fit for teams already building on AWS, and multimodal input for complex reasoning across text and images.
Its trade-offs are real: weak on independent intelligence - Artificial Analysis Intelligence Index of 13, below average for its tier, expensive for its score at $2.50/$12.50 per million tokens, a 2025 model - older than the 2026 frontier it competes against, and sources disagree on modalities (Amazon cites image input; some evaluations list text-only). At $2.5 in / $12.5 out per million tokens, it sits in the mid price band.
Gemini 3.1 Pro: where it fits
A 1M-token multimodal workhorse — huge breadth across text, image, audio and video, but recall fades deep in the window. Released February 19, 2026 by Google, it is built for full multimodal input — text, image, audio and video in one 1M-token window, long video and document analysis, agentic reasoning (high ARC-AGI-2), and broad multimodal understanding across formats.
Its trade-offs: long-context recall drops sharply past 256K (26.3% on MRCR v2 at 1M), premium price per token at $2/$12, and superseded within Google's own line by the newer 3.5/3.6 Flash releases for cost-sensitive work. At $2 in / $12 out per million tokens, it sits in the mid price band.
The bottom line for this matchup
Amazon Nova Premier and Gemini 3.1 Pro overlap enough that the right pick depends on your specific job. Gemini 3.1 Pro costs less per token; Gemini 3.1 Pro holds the larger context; and each leads in its own area — Amazon Nova Premier for 1m-token context with deep aws bedrock integration, Gemini 3.1 Pro for full multimodal input — text, image, audio and video in one 1m-token window. Rather than crowning one, run the same hard task through both once and let the results decide.
Want both Amazon Nova Premier and Gemini 3.1 Pro 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 Premier or Gemini 3.1 Pro 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 Premier leans toward 1m-token context with deep aws bedrock integration while Gemini 3.1 Pro leans toward full multimodal input — text, image, audio and video in one 1m-token window, and that positioning usually predicts which feels better on your codebase.
Which is cheaper, Amazon Nova Premier or Gemini 3.1 Pro?
Gemini 3.1 Pro is cheaper — $2.5/$12.5 per 1M tokens vs $2/$12 per 1M tokens, roughly 1.3× 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 Premier and Gemini 3.1 Pro together?
Yes — a multi-model platform like LumiChats gives you Amazon Nova Premier, Gemini 3.1 Pro 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 Premier or Gemini 3.1 Pro?
Gemini 3.1 Pro — released February 19, 2026, about 10 months after Amazon Nova Premier.
Specifications and benchmarks reflect publicly reported figures as of June 2026 and may change as providers release updates. Always verify on your own workload.