Pick Gemini 3.1 Flash Lite for ultra-low-latency, high-volume production workloads or most cost-efficient gemini 3 model — half the price of gemini 3 flash ($0.25/$1.50 vs $0.50/$3.00 per 1m tokens). 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 3.1 Flash Lite is the value pick.
Gemini 3.1 Flash Lite (Google) and Gemini 3.8 Flash (Google DeepMind) are two of the models people most often weigh against each other in 2026. Gemini 3.1 Flash Lite is google's fastest and most cost-efficient Gemini 3 series model, built for ultra-low-latency, high-volume production workloads at half the price of Gemini 3 Flash. 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 3.1 Flash Lite is about 3× cheaper on input ($0.25/$1.5 per 1M tokens vs $0.75/$3.75 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 6 months (released September 2, 2026), usually meaning fresher training data and capabilities.
Specifications
Spec
Gemini 3.1 Flash Lite
Gemini 3.8 Flash
Provider
Google (US)
Google DeepMind (US)
Released
March 3, 2026
September 2, 2026
Context window
1M (~1,500 pages)
1M tokens (~1,500 pages)
Price (in/out)
$0.25/$1.5 per 1M tokens
$0.75/$3.75 per 1M tokens
Open weight?
No — API only
No — API only
Modalities
text, image, audio, video
text, image, audio, video
SWE-Bench Verified
Not published
Not published
MRCR v2 @ 1M
12.3%
Not published
Who wins what
Ultra-low-latency, high-volume production workloads: Gemini 3.1 Flash Lite — At $0.25/$1.5 per 1M tokens it undercuts Gemini 3.8 Flash ($0.75/$3.75 per 1M tokens), and that gap compounds at volume.
Most cost-efficient Gemini 3 model — half the price of Gemini 3 Flash ($0.25/$1.50 vs $0.50/$3.00 per 1M tokens): Gemini 3.1 Flash Lite — Gemini 3.8 Flash is comparatively weak here — still a mid-tier 'Flash' model, not Google's frontier flagship (which remains unreleased)
High-volume agentic and tool-calling loops where cost per call matters: Gemini 3.1 Flash Lite — Google's fastest and most cost-efficient Gemini 3 series model, built for ultra-low-latency, high-volume production workloads at half the price of Gemini 3 Flash — and it runs cheaper at $0.25/$1.5 per 1M tokens.
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 is the newer of the two.
Cost-efficient workhorse performance beating larger models at same price as 3.7 Flash: Gemini 3.8 Flash — Gemini 3.1 Flash Lite is comparatively weak here — lower reasoning and quality ceiling than Gemini 3.1 Pro and the full Gemini 3 Flash tier
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 — Gemini 3.8 Flash lists 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%) among its strengths; Gemini 3.1 Flash Lite does not.
Lowest cost at scale: Gemini 3.1 Flash Lite — At $0.25/$1.5 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 Flash Lite — At $0.25/$1.5 per 1M tokens it undercuts Gemini 3.8 Flash, and on millions of tokens that margin decides the monthly bill.
Anyone whose priority is ultra-low-latency, high-volume production workloads: Gemini 3.1 Flash Lite — 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.
Gemini 3.1 Flash Lite: where it fits
Google's fastest and most cost-efficient Gemini 3 series model, built for ultra-low-latency, high-volume production workloads at half the price of Gemini 3 Flash. Released March 3, 2026 by Google, it is built for ultra-low-latency, high-volume production workloads, most cost-efficient Gemini 3 model — half the price of Gemini 3 Flash ($0.25/$1.50 vs $0.50/$3.00 per 1M tokens), high-volume agentic and tool-calling loops where cost per call matters, and multimodal input across text, image, video, audio, and PDF.
Its trade-offs are real: lower reasoning and quality ceiling than Gemini 3.1 Pro and the full Gemini 3 Flash tier, sharp long-context degradation — MRCR v2 (8-needle) retrieval falls to ~12% at the full 1M-token window, and closed weights — not downloadable or self-hostable. At $0.25 in / $1.5 out per million tokens, it sits in the budget 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
Gemini 3.1 Flash Lite and Gemini 3.8 Flash overlap enough that the right pick depends on your specific job. Gemini 3.1 Flash Lite costs less per token; and each leads in its own area — Gemini 3.1 Flash Lite for ultra-low-latency, high-volume production workloads, 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 Gemini 3.1 Flash Lite 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, Gemini 3.1 Flash Lite leans toward ultra-low-latency, high-volume production workloads 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, Gemini 3.1 Flash Lite or Gemini 3.8 Flash?
Gemini 3.1 Flash Lite is cheaper — $0.25/$1.5 per 1M tokens vs $0.75/$3.75 per 1M tokens, roughly 3× 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 Gemini 3.1 Flash Lite and Gemini 3.8 Flash together?
Yes — a multi-model platform like LumiChats gives you Gemini 3.1 Flash Lite, 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, Gemini 3.1 Flash Lite or Gemini 3.8 Flash?
Gemini 3.8 Flash — released September 2, 2026, about 6 months after Gemini 3.1 Flash Lite.
Gemini 3.1 Flash Lite vs Gemini 3.8 Flash
Google · US | Google DeepMind · US · Updated June 2026
Quick verdict
Pick Gemini 3.1 Flash Lite for ultra-low-latency, high-volume production workloads or most cost-efficient gemini 3 model — half the price of gemini 3 flash ($0.25/$1.50 vs $0.50/$3.00 per 1m tokens). 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 3.1 Flash Lite is the value pick.
Gemini 3.1 Flash Lite (Google) and Gemini 3.8 Flash (Google DeepMind) are two of the models people most often weigh against each other in 2026. Gemini 3.1 Flash Lite is google's fastest and most cost-efficient Gemini 3 series model, built for ultra-low-latency, high-volume production workloads at half the price of Gemini 3 Flash. 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 3.1 Flash Lite is about 3× cheaper on input ($0.25/$1.5 per 1M tokens vs $0.75/$3.75 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 6 months (released September 2, 2026), usually meaning fresher training data and capabilities.
Side-by-side specs
Spec
Gemini 3.1 Flash Lite
Gemini 3.8 Flash
Provider
Google (US)
Google DeepMind (US)
Released
March 3, 2026
September 2, 2026
Context window
1M (~1,500 pages)
1M tokens (~1,500 pages)
Price (in/out)
$0.25/$1.5 per 1M tokens
$0.75/$3.75 per 1M tokens
Open weight?
No — API only
No — API only
Modalities
text, image, audio, video
text, image, audio, video
SWE-Bench Verified
Not published
Not published
MRCR v2 @ 1M
12.3%
Not published
Who wins what
Ultra-low-latency, high-volume production workloads
Gemini 3.1 Flash Lite
At $0.25/$1.5 per 1M tokens it undercuts Gemini 3.8 Flash ($0.75/$3.75 per 1M tokens), and that gap compounds at volume.
Most cost-efficient Gemini 3 model — half the price of Gemini 3 Flash ($0.25/$1.50 vs $0.50/$3.00 per 1M tokens)
Gemini 3.1 Flash Lite
Gemini 3.8 Flash is comparatively weak here — still a mid-tier 'Flash' model, not Google's frontier flagship (which remains unreleased)
High-volume agentic and tool-calling loops where cost per call matters
Gemini 3.1 Flash Lite
Google's fastest and most cost-efficient Gemini 3 series model, built for ultra-low-latency, high-volume production workloads at half the price of Gemini 3 Flash — and it runs cheaper at $0.25/$1.5 per 1M tokens.
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 is the newer of the two.
Cost-efficient workhorse performance beating larger models at same price as 3.7 Flash
Gemini 3.8 Flash
Gemini 3.1 Flash Lite is comparatively weak here — lower reasoning and quality ceiling than Gemini 3.1 Pro and the full Gemini 3 Flash tier
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
Gemini 3.8 Flash lists 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%) among its strengths; Gemini 3.1 Flash Lite does not.
Lowest cost at scale
Gemini 3.1 Flash Lite
At $0.25/$1.5 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 Flash Lite
At $0.25/$1.5 per 1M tokens it undercuts Gemini 3.8 Flash, and on millions of tokens that margin decides the monthly bill.
Anyone whose priority is ultra-low-latency, high-volume production workloads
→ Gemini 3.1 Flash Lite
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.
Gemini 3.1 Flash Lite: where it fits
Google's fastest and most cost-efficient Gemini 3 series model, built for ultra-low-latency, high-volume production workloads at half the price of Gemini 3 Flash. Released March 3, 2026 by Google, it is built for ultra-low-latency, high-volume production workloads, most cost-efficient Gemini 3 model — half the price of Gemini 3 Flash ($0.25/$1.50 vs $0.50/$3.00 per 1M tokens), high-volume agentic and tool-calling loops where cost per call matters, and multimodal input across text, image, video, audio, and PDF.
Its trade-offs are real: lower reasoning and quality ceiling than Gemini 3.1 Pro and the full Gemini 3 Flash tier, sharp long-context degradation — MRCR v2 (8-needle) retrieval falls to ~12% at the full 1M-token window, and closed weights — not downloadable or self-hostable. At $0.25 in / $1.5 out per million tokens, it sits in the budget 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
Gemini 3.1 Flash Lite and Gemini 3.8 Flash overlap enough that the right pick depends on your specific job. Gemini 3.1 Flash Lite costs less per token; and each leads in its own area — Gemini 3.1 Flash Lite for ultra-low-latency, high-volume production workloads, 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 Gemini 3.1 Flash Lite 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 Gemini 3.1 Flash Lite 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, Gemini 3.1 Flash Lite leans toward ultra-low-latency, high-volume production workloads 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, Gemini 3.1 Flash Lite or Gemini 3.8 Flash?
Gemini 3.1 Flash Lite is cheaper — $0.25/$1.5 per 1M tokens vs $0.75/$3.75 per 1M tokens, roughly 3× 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 Gemini 3.1 Flash Lite and Gemini 3.8 Flash together?
Yes — a multi-model platform like LumiChats gives you Gemini 3.1 Flash Lite, 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, Gemini 3.1 Flash Lite or Gemini 3.8 Flash?
Gemini 3.8 Flash — released September 2, 2026, about 6 months after Gemini 3.1 Flash Lite.
Specifications and benchmarks reflect publicly reported figures as of June 2026 and may change as providers release updates. Always verify on your own workload.