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Gemini 3.1 Flash-Lite vs MiniMax M3

Updated October 14, 2026. Rank says MiniMax M3 is ahead. Price, access, and your workload can each overturn that. Public scores include evidence status and uncertainty.

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Decision reading

MiniMax M3 has the higher public point estimate, 55 versus 47.14. Their conditional score ranges overlap. These ranges do not establish rank confidence. 5 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.

Model A
Google logo
Gemini 3.1 Flash-Lite

Google

47.14/100

Estimated · Public rank #106

Conditional range 37.4–56.9

Model B
MiniMax logo
MiniMax M3

MiniMax

55/100

Supported · Public rank #68

90% interval 45.6–64.4

Shared results
5
Gemini 3.1 Flash-Lite only
6
MiniMax M3 only
22
Like-for-like categories
0 / 8
Estimated: Gemini 3.1 Flash-Lite · Supported: MiniMax M3. Conditional ranges do not establish rank confidence.How the comparison works

Which one for your work

Recommendations appear only when a shared evidence basis or an explicit operating constraint supports the call. Secondary and unsupported use cases stay disclosed below the initial list.

  • Chat turn cost

    1K fresh input + 500 output tokens

    MiniMax M3

    MiniMax M3 has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.

    Confidence: listed-rates

  • Cache-heavy agent loop cost

    200K cached + 20K fresh input + 10K output tokens

    Gemini 3.1 Flash-Lite

    Gemini 3.1 Flash-Lite has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.

    Confidence: listed-rates
Show secondary and unsupported calls

  • Repository review cost

    50K fresh input + 3K output tokens

    Gemini 3.1 Flash-Lite

    Gemini 3.1 Flash-Lite has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.

    Confidence: listed-rates

  • Coding work

    Code generation, repair, and software-engineering tasks

    Not enough matched evidence

    Gemini 3.1 Flash-Lite is scored on Estimated evidence for coding, so the reading is directional rather than like-for-like.

    Confidence: limited

  • Agentic work

    Tool use, computer use, and multi-step task completion

    Not enough matched evidence

    Gemini 3.1 Flash-Lite is scored on Estimated evidence for agentic, so the reading is directional rather than like-for-like.

    Confidence: limited

  • Long documents

    Prompts that approach the documented context limit

    No clear pick

    The documented context windows are equal.

    Confidence: documented

Which one for a specific job

Choose a job from the LLM Selector's task catalog to see the category row it rests on, under the same basis rules as the table below. A directional row stays directional; choosing a job never creates a winner.

The same task catalog as the LLM Selector. Each job names the evidence surface it rests on; nothing here adds a new score.

27.3Gemini 3.1 Flash-Lite36.5MiniMax M3

Directional only · BenchAlign v5.8

MiniMax M3 has the higher coding point estimate. Conditional score ranges do not establish rank confidence.

Coding scores combine specific tasks and setups. Match the editor, harness, and effort to your workflow.

Open the coding leaderboardShortlist models for this job
Same basis rules as the category table below

What is actually comparable

Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.

3 categories rest on Estimated evidence or different evidence sets. Those rows remain visible for coverage context but do not name a winner.

Shape of the matched evidence

Only shared public evidence is shown. Sparse evidence stays a ruled list rather than being closed into a radar shape.

Too few matched category axes support a radar. The ruled list below shows only shared benchmark results; positions use each benchmark’s normalized display scale when available.

Bars run 0–100 on each benchmark’s normalized display scale

Category results, on a stated basis

Each row shows the public-lane category score for both models: the BenchAlign v5.8 lane for agentic, coding, and knowledge, and the weighted public rows elsewhere, with the same rank each model page reports. A row is like-for-like only when both scores rest on Supported evidence or the same weighted set. Directional and not-comparable rows remain visible, but they never receive a winner.

Agentic

Directional only
Gemini 3.1 Flash-Lite
27.7
Estimated · #98/125
MiniMax M3
39.6
Supported · #66/125
Basis
BenchAlign v5.8 lane · 2 vs 9 public rows
Reading
Directional only

Coding

Directional only
Gemini 3.1 Flash-Lite
27.3
Estimated · #100/149
MiniMax M3
36.5
Supported · #73/149
Basis
BenchAlign v5.8 lane · 3 vs 10 public rows
Reading
Directional only

Knowledge

Directional only
Gemini 3.1 Flash-Lite
46.9
Estimated · #87/181
MiniMax M3
49.6
Supported · #80/181
Basis
BenchAlign v5.8 lane · 2 vs 2 public rows
Reading
Directional only

Reasoning

Not comparable
Gemini 3.1 Flash-Lite
Not ranked
MiniMax M3
82.9
#5/29
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Multimodal

Not comparable
Gemini 3.1 Flash-Lite
42.0
Unranked · 1 rankable row
MiniMax M3
61.5
#43/54
Basis
Provisional lane · 1 vs 2 weighted rows
Reading
Not comparable

Multilingual

Not comparable
Gemini 3.1 Flash-Lite
Not ranked
MiniMax M3
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Instruction following

Not comparable
Gemini 3.1 Flash-Lite
Not ranked
MiniMax M3
93.8
#5/144
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Math

Not comparable
Gemini 3.1 Flash-Lite
44.0
Unranked · 1 rankable row
MiniMax M3
Not ranked
Basis
Provisional lane · 1 vs 1 weighted rows
Reading
Not comparable

Ranks count the models scored in each category’s lane, so the agentic, coding, and knowledge denominators (BenchAlign v5.8) differ from the provisional-lane categories. Unranked scores sit on the provisional lane’s scale but never name a winner. Like-for-like rows within 0.5 points read as a practical tie.

Supported evidence per lane · bars run 0–100Methodology

What each workload costs

Three fixed token mixes turn per-token rates into comparable decisions. Each scenario states context fit and whether cached input had to fall back to the published list-input rate.

Chat turn

1K fresh input + 500 output tokens

Gemini 3.1 Flash-Lite
$0.001
Fits in one request
MiniMax M3
$0.0009
Fits in one request

MiniMax M3 has the lower modeled cost

Costs use the listed standard API rates.

Repository review

50K fresh input + 3K output tokens

Gemini 3.1 Flash-Lite
$0.017
Fits in one request
MiniMax M3
$0.0186
Fits in one request

Gemini 3.1 Flash-Lite has the lower modeled cost

Costs use the listed standard API rates.

Cache-heavy agent loop

200K cached + 20K fresh input + 10K output tokens

Gemini 3.1 Flash-Lite
$0.025
Fits in one request
MiniMax M3
$0.03
Fits in one request

Gemini 3.1 Flash-Lite has the lower modeled cost

Costs use the listed standard API rates.

Cached input falls back to the list input rate only where a cached rate is unpublished

Specification differences

Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.

Context window

Maximum documented context; output-token limits may be lower.

Gemini 3.1 Flash-Lite

1M

Google Gemini API pricing

MiniMax M3

1M

Cached-input rate

A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.

Gemini 3.1 Flash-Lite

$0.025 per 1M cached input tokens

Google Gemini API pricing

MiniMax M3

$0.06 per 1M cached input tokens

Documented inputs

Gemini 3.1 Flash-Lite

Not sourced

MiniMax M3

Not sourced

Documented outputs

Gemini 3.1 Flash-Lite

Not sourced

MiniMax M3

Not sourced

Provider availability

Gemini 3.1 Flash-Lite

Not sourced

MiniMax M3

Not sourced

Reasoning profile

Gemini 3.1 Flash-Lite

Non-Reasoning

MiniMax M3

Non-Reasoning

Weight access

Gemini 3.1 Flash-Lite

Proprietary

MiniMax M3

Open Weight

License

Gemini 3.1 Flash-Lite

Proprietary

MiniMax M3

Open Weight

Release date

Gemini 3.1 Flash-Lite

2026-03-03

MiniMax M3

2026-06-01

If you already use one of these models

Deployment change
The models list different providers, so authentication, endpoint behavior, limits, and feature support may change.
Quality signal
MiniMax M3 has the higher public point estimate, 55 versus 47.14. Their conditional score ranges overlap. These ranges do not establish rank confidence.
Workload cost
Repository review: $0.017 vs $0.0186. Cache-heavy agent loop: $0.025 vs $0.03.
Context tradeoff
Both models list 1M.
Run the same representative tasks against both endpoints before changing production traffic.

Questions

Which is better, Gemini 3.1 Flash-Lite or MiniMax M3?

MiniMax M3 has the higher public point estimate, 55 versus 47.14. Their conditional score ranges overlap. These ranges do not establish rank confidence. The page therefore keeps the decision tied to the specific documented workload.

Which is better for coding, Gemini 3.1 Flash-Lite or MiniMax M3?

MiniMax M3 scores higher for coding on the public lane, 36.5 to 27.3. Gemini 3.1 Flash-Lite is scored on Estimated evidence for coding, so the reading is directional rather than like-for-like. BenchLM does not name a winner for coding from a directional reading; read the shared benchmark rows directly and test the models on the same task set.

Which is better for agentic tasks, Gemini 3.1 Flash-Lite or MiniMax M3?

MiniMax M3 scores higher for agentic tasks on the public lane, 39.6 to 27.7. Gemini 3.1 Flash-Lite is scored on Estimated evidence for agentic tasks, so the reading is directional rather than like-for-like. BenchLM does not name a winner for agentic tasks from a directional reading; read the shared benchmark rows directly and test the models on the same task set.

Which costs less, Gemini 3.1 Flash-Lite or MiniMax M3?

For the stated presets, chat costs $0.001 on Gemini 3.1 Flash-Lite and $0.0009 on MiniMax M3; repository review costs $0.017 and $0.0186; the cache-heavy agent loop costs $0.025 and $0.03. Costs use the listed standard API rates.

Which has the larger context window, Gemini 3.1 Flash-Lite or MiniMax M3?

Both models list the same context window, 1M.

Benchmark evidence

The full public result ledger is available for audit without forcing a wide desktop table onto a phone.

Browse raw public benchmark evidence33 rows

Agentic

  • Gert Labs

    Gemini 3.1 Flash-Lite38.46%
    Source
    MiniMax M3—

    Not directly comparable

  • Terminal-Bench 2.1 (Vals)

    Gemini 3.1 Flash-Lite34.1%
    Source
    MiniMax M353.6%
    Source

    MiniMax M3 leads this result

  • Terminal-Bench 2.1

    Gemini 3.1 Flash-Lite—
    MiniMax M366.0%
    Source

    Not directly comparable

  • BrowseComp

    Gemini 3.1 Flash-Lite—
    MiniMax M383.5%
    Source

    Not directly comparable

  • OSWorld-Verified

    Gemini 3.1 Flash-Lite—
    MiniMax M370.1%
    Source

    Not directly comparable

  • MCP Atlas

    Gemini 3.1 Flash-Lite—
    MiniMax M374.2%
    Source

    Not directly comparable

  • Claw-Eval

    Gemini 3.1 Flash-Lite—
    MiniMax M374.5%
    Source

    Not directly comparable

  • BankerToolBench

    Gemini 3.1 Flash-Lite—
    MiniMax M376.1%
    Source

    Not directly comparable

  • ResearchClawBench

    Gemini 3.1 Flash-Lite—
    MiniMax M319.8%
    Source

    Not directly comparable

  • OSWorld 2.0

    Gemini 3.1 Flash-Lite—
    MiniMax M34.6%
    Source

    Not directly comparable

Coding

  • Vibe Code Bench

    Gemini 3.1 Flash-Lite0.00%
    Source
    MiniMax M3—

    Not directly comparable

  • LiveCodeBench (Vals)

    Gemini 3.1 Flash-Lite80.1%
    Source
    MiniMax M382.2%
    Source

    MiniMax M3 leads this result

  • SWE-bench (Vals)

    Gemini 3.1 Flash-Lite62.8%
    Source
    MiniMax M375.0%
    Source

    MiniMax M3 leads this result

  • SWE-bench Verified

    Gemini 3.1 Flash-Lite—
    MiniMax M380.5%
    Source

    Not directly comparable

  • SWE-bench Pro

    Gemini 3.1 Flash-Lite—
    MiniMax M359%
    Source

    Not directly comparable

  • Terminal-Bench 2.1

    Gemini 3.1 Flash-Lite—
    MiniMax M366.0%
    Source

    Not directly comparable

  • NL2Repo

    Gemini 3.1 Flash-Lite—
    MiniMax M342.1%
    Source

    Not directly comparable

  • VIBE V2

    Gemini 3.1 Flash-Lite—
    MiniMax M350.1%
    Source

    Not directly comparable

  • SVG-Bench

    Gemini 3.1 Flash-Lite—
    MiniMax M363.7%
    Source

    Not directly comparable

  • KernelBench Hard

    Gemini 3.1 Flash-Lite—
    MiniMax M328.8%
    Source

    Not directly comparable

  • OpenHarmony Bench

    Gemini 3.1 Flash-Lite—
    MiniMax M348.4%
    Source

    Not directly comparable

Reasoning

  • JevBench 1.4

    Gemini 3.1 Flash-Lite14.26
    Source
    MiniMax M3—

    Not directly comparable

  • JevBench 1.5

    Gemini 3.1 Flash-Lite19.58
    Source
    MiniMax M3—

    Not directly comparable

Multimodal

  • CharXiv

    Gemini 3.1 Flash-Lite73.2%
    Source
    MiniMax M3—

    Not directly comparable

  • OfficeQA Pro

    Gemini 3.1 Flash-Lite—
    MiniMax M345.1%
    Source

    Not directly comparable

  • OmniDocBench 1.5

    Gemini 3.1 Flash-Lite—
    MiniMax M391.6%
    Source

    Not directly comparable

  • MMMU-Pro

    Gemini 3.1 Flash-Lite—
    MiniMax M378.1%
    Source

    Not directly comparable

  • VideoMMMU

    Gemini 3.1 Flash-Lite—
    MiniMax M384.6%
    Source

    Not directly comparable

  • Video-MME (with subtitle)

    Gemini 3.1 Flash-Lite—
    MiniMax M385.4%
    Source

    Not directly comparable

Knowledge

  • GPQA Diamond (Vals)

    Gemini 3.1 Flash-Lite81.1%
    Source
    MiniMax M392.7%
    Source

    MiniMax M3 leads this result

  • MMLU-Pro (Vals)

    Gemini 3.1 Flash-Lite86.2%
    Source
    MiniMax M384.2%
    Source

    Gemini 3.1 Flash-Lite leads this result

Math

  • FrontierMath v2 (Tiers 1-3)

    Gemini 3.1 Flash-Lite27.719%
    Source
    MiniMax M3—

    Not directly comparable

  • USAMO 2026

    Gemini 3.1 Flash-Lite—
    MiniMax M385.7%
    Source

    Not directly comparable

33 public results · 5 shared

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Last updated October 14, 2026