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Model A
Gemini 3.1 Flash-Lite

Google

50.9/100

Supported · Public rank #129

90% interval 24.7–77.1

Gemini 3.1 Flash-Lite vs MiniMax M3

Updated August 30, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.

MiniMax logo
Model B
MiniMax M3

MiniMax

68.73/100

Supported · Public rank #21

90% interval 63.5–74.0

Decision reading

The public evidence has no benchmark result shared by both models, so it does not support a quality verdict. Use the documented cost, context, and runtime rows instead.

0 results are shared. Category rows based on different benchmark sets are marked directional and do not name a winner.

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

    No shared weighted benchmark basis supports a winner.

    Confidence: limited

  • Agentic work

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

    Not enough matched evidence

    No shared weighted benchmark basis supports a winner.

    Confidence: limited

  • Long documents

    Prompts that approach the documented context limit

    No clear pick

    The documented context windows are equal.

    Confidence: documented

What is actually comparable

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

Shared results
0
Gemini 3.1 Flash-Lite only
3
MiniMax M3 only
22
Like-for-like categories
0 / 8

Category results, on a stated basis

Each row states whether both averages use the same weighted benchmark set. Directional and not-comparable rows remain visible, but they never receive a winner in this template.

Agentic

Not comparable
Gemini 3.1 Flash-Lite
Not measured
MiniMax M3
72.3
Weighted basis
0 vs 3 rows
Reading
Not comparable

Coding

Not comparable
Gemini 3.1 Flash-Lite
Not measured
MiniMax M3
72.2
Weighted basis
0 vs 2 rows
Reading
Not comparable

Reasoning

Not comparable
Gemini 3.1 Flash-Lite
Not measured
MiniMax M3
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Knowledge

Not comparable
Gemini 3.1 Flash-Lite
Not measured
MiniMax M3
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Math

Not comparable
Gemini 3.1 Flash-Lite
Not measured
MiniMax M3
85.7
Weighted basis
0 vs 1 rows
Reading
Not comparable

Multilingual

Not comparable
Gemini 3.1 Flash-Lite
Not measured
MiniMax M3
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Multimodal

Not comparable
Gemini 3.1 Flash-Lite
73.2
MiniMax M3
64.9
Weighted basis
1 vs 2 rows
Reading
Not comparable

Instruction following

Not comparable
Gemini 3.1 Flash-Lite
Not measured
MiniMax M3
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

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.

A shared-evidence shape is not available.

BenchLM does not draw a radar or infer missing axes when the matched evidence is too sparse.

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.

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

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
The public evidence has no benchmark result shared by both models, so it does not support a quality verdict.
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.

Benchmark evidence

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

Browse raw public benchmark evidence25 rows

Agentic

  • Gert Labs

    Gemini 3.1 Flash-Lite38.46%
    Source
    MiniMax M3

    Not directly comparable

  • Terminal-Bench 2.0

    Gemini 3.1 Flash-Lite
    MiniMax M366%
    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

  • 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 2.0

    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

Math

  • USAMO 2026

    Gemini 3.1 Flash-Lite
    MiniMax M385.7%
    Source

    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

Frequently asked questions

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

The public evidence has no benchmark result shared by both models, so it does not support a quality verdict. 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?

The published evidence does not provide a shared weighted coding basis for both models, so BenchLM does not name a coding winner.

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

The published evidence does not provide a shared weighted agentic tasks basis for both models, so BenchLM does not name a agentic tasks winner.

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.

Related comparisons

Last updated August 30, 2026

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