MModelspectraIndependent AI Model Intelligence
Head-to-head · Updated 2026-09-08
中文
Model Comparison · Head to Head

Gemini 3.8 Flash vs Gemini 3.5 Flash

Gemini 3.8 Flash wins on Overall, Coding, Multimodal. Every numeric field is compared below, with a worked monthly-cost example and a pick rule for each use case.

VendorGoogle / Google
Data fields15+ dimensions
Updated2026-09-08
Read~9 min
01

Verdict at a glance

Bottom line: Choose Gemini 3.8 Flash when coding depth, long-context reliability matter most; choose Gemini 3.5 Flash when its stronger dimensions is the priority.

Choose Gemini 3.8 Flash if you…

  • Best-coding Flash yet
  • Native text/image/audio/video
  • Very fast and low-priced
  • Stronger agentic reasoning
  • Best for: Fast tasks, Multimodal, Coding

Choose Gemini 3.5 Flash if you…

  • Extremely fast
  • Low price
  • Native multimodal
  • Built for scale
  • Best for: Fast tasks, Multimodal, Low cost
02

Head-to-head aggregate scores

Scores are 0–100, aggregated from public benchmark information and independently weighted across three leaderboards. Rank is out of 26 tracked models.

Gemini 3.8 Flash Higher overall
Google · #12 overall
Overall73
Coding73
Multimodal88
VS
Gemini 3.5 Flash
Google · #17 overall
Overall69
Coding64
Multimodal86

Aggregated from public sources and independently weighted; methodology on the Terms page. Scores within 3 points are treated as statistically tied.

03

Specs & pricing — every field side by side

List API prices in USD per 1M tokens. The highlighted cell is the stronger value/capability on that row.

DimensionGemini 3.8 FlashGemini 3.5 FlashVerdict
VendorGoogle (US)Google (US)Same vendor
Released2026.092026.07Gemini 3.8 Flash is newer
Overall (rank)73 · #1269 · #17Gemini 3.8 Flash +4
Coding73 · #1364 · #21Gemini 3.8 Flash +9
Multimodal88 · #986 · #10Gemini 3.8 Flash +2
Context window1M1MTie
Max output64K128KGemini 3.8 Flash longer
Effective-context9088Gemini 3.8 Flash more reliable
Input $/1M$0.75$1.5Gemini 3.8 Flash cheaper
Output $/1M$3.75$9Gemini 3.8 Flash cheaper
Cache discountnonenoneTie
Speed~85 tok/s~80 tok/sGemini 3.8 Flash faster
TTFT0.3s0.3sTie
Function calling7875Gemini 3.8 Flash ahead
Refusal rate~10%~10%Tie
English8885Gemini 3.8 Flash
Chinese7472Gemini 3.8 Flash
Modalitiestext, image, audio, videotext, image, audio, videoSame
Open weightsNoNoBoth closed
Fine-tuningYesYes
Free tierGemini App free; API free tier; intro price through Dec 31, 2026Gemini App free; API free tier
SOC2 / no-trainyes / yesyes / yes
Private deploymentNoNoNeither

Fields drawn from vendor public documentation and the Modelspectra 26-model dataset; speed varies with network, concurrency and prompt length. Verify current pricing before purchase.

04

Dimension-by-dimension analysis

Reasoning & overall intelligence

Gemini 3.8 Flash leads the overall aggregate by 4 points (73 vs 69). That is a meaningful, not marginal, edge on hard, multi-step reasoning, while Gemini 3.5 Flash remains a strong generalist that is not out of its depth on routine work.

Agentic coding

This is a modest gap: Gemini 3.8 Flash scores 73 against 64. On multi-file edits, SWE-style tickets and long-horizon agent loops Gemini 3.8 Flash needs fewer correction turns; Gemini 3.5 Flash is still competent for scripts and assisted completion but trails as task complexity rises.

Multimodal

Gemini 3.8 Flash leads multimodal 88 vs 86. Both accept video, so weigh their video-understanding reliability, not mere support.

Speed & latency

Gemini 3.8 Flash is faster in interactive use: ~85 tok/s with 0.3s TTFT versus ~80 tok/s with 0.3s TTFT (about 1.1× the throughput). For conversational UIs where perceived responsiveness drives retention, that edge is a real product factor even when raw reasoning is lower.

Context: window vs usable recall

Nominal windows are 1M for Gemini 3.8 Flash and 1M for Gemini 3.5 Flash. Effective-context scores point the same way as window size — Gemini 3.8 Flash is ahead on usable recall (90 vs 88), so prefer it for long-document work where details cannot be missed.

Price & total cost

Gemini 3.8 Flash is the cheaper API at $0.75/$3.75 versus Gemini 3.5 Flash at $1.5/$9 per 1M input/output tokens — list input is about 2.0× lower.

Chinese vs English

English: Gemini 3.8 Flash 88 vs Gemini 3.5 Flash 85. Chinese: 74 vs 72. Both are US-based models; for Chinese-first workloads also compare domestic models on the leaderboard.

Tool use & ecosystem

Function-calling score: Gemini 3.8 Flash 78 vs Gemini 3.5 Flash 75, so Gemini 3.8 Flash has the edge on structured tool use. Fine-tuning is available from Gemini 3.8 Flash and Gemini 3.5 Flash. Factor in existing SDK/plugin familiarity — switching cost often outweighs a few-point tool-use gap.

05

Cost worked example — same workload, real token math

Assume a production workload of 100M input + 30M output tokens per month, with 90% of input tokens served from cache. Figures use public list prices.

Scenario · per monthGemini 3.8 FlashGemini 3.5 FlashGap
List priceno cache applied$188100M in × $0.75  +  30M out × $3.75$420100M in × $1.5  +  30M out × $92.23×gap
With caching90% of inputs cache-hit$188no published cache discount$420no published cache discount2.23×gap

Illustrative model; your input/output mix and cache-hit ratio change the result. Prices are list rates before any enterprise agreement.

06

Decision tree

IF the workload is agentic or multi-file coding and a wrong first pass is expensive  →  choose Gemini 3.8 Flash (coding 73 vs 64).
IF you serve real-time users and latency is a product KPI  →  choose Gemini 3.8 Flash (~85 tok/s, 0.3s TTFT).
IF you are cost-driven at scale on routine, high-volume workloads  →  choose Gemini 3.8 Flash ($$0.75/$$3.75 per 1M in/out).
IF long-document recall has to be near-perfect  →  choose Gemini 3.8 Flash (effective context 90 vs 88).
07

Frequently asked questions

Is Gemini 3.5 Flash worth the higher price over Gemini 3.8 Flash?
At list the input rate is 2.0x higher, but cache discounts and output pricing narrow the effective gap. Pay the premium when Gemini 3.5 Flash's stronger dimensions protect revenue; for routine volume Gemini 3.8 Flash is the economical pick.
How do costs compare at 100M tokens/month with caching?
At 100M input + 30M output with 90% of inputs cache-hit, Gemini 3.8 Flash is about $188/month and Gemini 3.5 Flash about $420/month after cache discounts ($188 and $420 at list).
Does the bigger context window actually matter?
Nominal windows are Gemini 3.8 Flash (1M) and Gemini 3.5 Flash (1M), but usable recall follows the effective-context score (90 vs 88). Prefer the higher effective-context model for long-document work where nothing can be missed.
Is Gemini 3.8 Flash worth choosing over Gemini 3.5 Flash within Google?
Both come from Google. Gemini 3.8 Flash is the vendor's higher tier (73 vs 69 overall) and is the pick when you want this lab's strongest model; Gemini 3.5 Flash costs less and remains the sensible choice where its score already clears the bar.
What is the single-line recommendation?
Choose Gemini 3.8 Flash for Fast tasks, Multimodal; choose Gemini 3.5 Flash for Fast tasks, Multimodal.
How quickly do these rankings change?
Modelspectra refreshes the aggregate as new public benchmarks and prices appear. Treat scores within 3 points as a tie and re-check before a committed purchase.