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

MiniMax M3 vs Gemini 3.5 Flash

MiniMax M3 wins on Overall, Coding; Gemini 3.5 Flash wins on Multimodal. Every numeric field is compared below, with a worked monthly-cost example and a pick rule for each use case.

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

Verdict at a glance

Bottom line: Choose MiniMax M3 when coding depth, long-context reliability, lower refusal matter most; choose Gemini 3.5 Flash when lower latency is the priority.

Choose MiniMax M3 if you…

  • Strong agent ability
  • Open source
  • Low price
  • Best for: AI agents, Open source, Chinese

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 22 tracked models.

MiniMax M3 Higher overall
MiniMax · #13 overall
Overall70
Coding68
Multimodal70
VS
Gemini 3.5 Flash
Google · #14 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.

DimensionMiniMax M3Gemini 3.5 FlashVerdict
VendorMiniMax (CN)Google (US)Different vendors
Released2026.062026.07Gemini 3.5 Flash is newer
Overall (rank)70 · #1369 · #14MiniMax M3 +1
Coding68 · #1364 · #17MiniMax M3 +4
Multimodal70 · #1886 · #7Gemini 3.5 Flash +16
Context window1M1MTie
Max output64K128KMiniMax M3 longer
Effective-context9088MiniMax M3 more reliable
Input $/1M$0.6$1.5MiniMax M3 cheaper
Output $/1M$2.4$9MiniMax M3 cheaper
Cache discountnonenoneTie
Speed~60 tok/s~80 tok/sGemini 3.5 Flash faster
TTFT0.5s0.3sGemini 3.5 Flash snappier
Function calling8475MiniMax M3 ahead
Refusal rate~7%~10%MiniMax M3 less restrictive
English7085Gemini 3.5 Flash
Chinese8872MiniMax M3
Modalitiestexttext, image, audio, videodifferent coverage
Open weightsYesNoMiniMax M3 is open
Fine-tuningYesYes
Free tierHailuo AI free; open-platform quotaGemini App free; API free tier
SOC2 / no-trainno / yesyes / yes
Private deploymentYesNoMiniMax M3

Fields drawn from vendor public documentation and the Modelspectra 22-model dataset; speed varies with network, concurrency and prompt length. Verify current pricing before purchase.

04

Dimension-by-dimension analysis

Reasoning & overall intelligence

MiniMax M3 leads the overall aggregate by 1 points (70 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: MiniMax M3 scores 68 against 64. On multi-file edits, SWE-style tickets and long-horizon agent loops MiniMax M3 needs fewer correction turns; Gemini 3.5 Flash is still competent for scripts and assisted completion but trails as task complexity rises.

Multimodal

Gemini 3.5 Flash leads multimodal 86 vs 70. A concrete modality difference: Gemini 3.5 Flash additionally handles audio, image, video.

Speed & latency

Gemini 3.5 Flash is faster in interactive use: ~80 tok/s with 0.3s TTFT versus ~60 tok/s with 0.5s TTFT (about 1.3× 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 MiniMax M3 and 1M for Gemini 3.5 Flash. Effective-context scores point the same way as window size — MiniMax M3 is ahead on usable recall (90 vs 88), so prefer it for long-document work where details cannot be missed.

Price & total cost

MiniMax M3 is the cheaper API at $0.6/$2.4 versus Gemini 3.5 Flash at $1.5/$9 per 1M input/output tokens — list input is about 2.5× lower.

Chinese vs English

English: MiniMax M3 70 vs Gemini 3.5 Flash 85. Chinese: 88 vs 72. For Chinese-language production, MiniMax M3 is the stronger pick. Note that non-Chinese models generally require overseas network access for their APIs.

Tool use & ecosystem

Function-calling score: MiniMax M3 84 vs Gemini 3.5 Flash 75, so MiniMax M3 has the edge on structured tool use. Fine-tuning is available from MiniMax M3 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 monthMiniMax M3Gemini 3.5 FlashGap
List priceno cache applied$132100M in × $0.6  +  30M out × $2.4$420100M in × $1.5  +  30M out × $93.18×gap
With caching90% of inputs cache-hit$132no published cache discount$420no published cache discount3.18×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 MiniMax M3 (coding 68 vs 64).
IF you serve real-time users and latency is a product KPI  →  choose Gemini 3.5 Flash (~80 tok/s, 0.3s TTFT).
IF you are cost-driven at scale on routine, high-volume workloads  →  choose MiniMax M3 ($$0.6/$$2.4 per 1M in/out).
IF long-document recall has to be near-perfect  →  choose MiniMax M3 (effective context 90 vs 88).
07

Frequently asked questions

Is Gemini 3.5 Flash worth the higher price over MiniMax M3?
At list the input rate is 2.5x 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 MiniMax M3 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, MiniMax M3 is about $132/month and Gemini 3.5 Flash about $420/month after cache discounts ($132 and $420 at list).
Does the bigger context window actually matter?
Nominal windows are MiniMax M3 (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.
How do they differ for Chinese-language and data-residency use?
MiniMax M3 is the Chinese model (Chinese score 88, domestic cloud, possible private deployment) while Gemini 3.5 Flash is the global model (Chinese 72, overseas API). Pick by language quality, access path and where data must reside.
Can I self-host either model?
MiniMax M3 ships open weights and can be self-hosted (GPU permitting) for data control; Gemini 3.5 Flash is a closed managed API with no self-hosting. Choose open weights when residency or cost-at-scale dominates, managed API for convenience.
Which handles multimodal inputs better?
Multimodal scores are 70 (MiniMax M3) vs 86 (Gemini 3.5 Flash), with modality coverage text versus text/image/audio/video. Match the model to the input types your product actually receives.