Skip to main content
Radar

Keep up with the models you depend on. Follow price changes, retirements, and API updates.Follow the models you depend on.

Follow model changes
MiniMax logo
Model A
MiniMax M3

MiniMax

61.5/100

Supported · Public rank #56

90% interval 52.470.6

MiniMax M3 vs Ministral 3 3B (Reasoning)

Updated September 8, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.

Mistral logo
Model B
Ministral 3 3B (Reasoning)

Mistral

38.09/100

Estimated · Public rank #198

90% interval 26.649.6

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 resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.

Share or export

Share on XLinkedInSocial cardCSVJSON

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.

  • Long documents

    Prompts that approach the documented context limit

    MiniMax M3

    MiniMax M3 has the larger documented context window.

    Confidence: documented

  • Chat turn cost

    1K fresh input + 500 output tokens

    Ministral 3 3B (Reasoning)

    Ministral 3 3B (Reasoning) 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

    Ministral 3 3B (Reasoning)

    Ministral 3 3B (Reasoning) has the lower estimated token cost for this stated workload. Ministral 3 3B (Reasoning) has no published cached-input rate, so cached tokens use its listed input rate.

    Confidence: rate-fallback

Show secondary and unsupported calls
  • Repository review cost

    50K fresh input + 3K output tokens

    Ministral 3 3B (Reasoning)

    Ministral 3 3B (Reasoning) 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

    Ministral 3 3B (Reasoning) is not ranked on the public lane for coding, so no winner is named for coding.

    Confidence: limited

  • Agentic work

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

    Not enough matched evidence

    Ministral 3 3B (Reasoning) is not ranked on the public lane for agentic, so no winner is named for agentic.

    Confidence: limited

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
MiniMax M3 only
27
Ministral 3 3B (Reasoning) only
0
Like-for-like categories
0 / 8

Category results, on a stated basis

Each row shows the public-lane category score for both models: the BenchAlign 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

Not comparable
MiniMax M3
42.0
Supported · #109/152
Ministral 3 3B (Reasoning)
Not ranked
Basis
BenchAlign lane · 9 vs 0 public rows
Reading
Not comparable

Coding

Not comparable
MiniMax M3
48.9
Estimated · #66/151
Ministral 3 3B (Reasoning)
Not ranked
Basis
BenchAlign lane · 10 vs 0 public rows
Reading
Not comparable

Reasoning

Not comparable
MiniMax M3
78.0
Unranked · 2 rankable rows
Ministral 3 3B (Reasoning)
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Knowledge

Not comparable
MiniMax M3
53.4
Supported · #64/182
Ministral 3 3B (Reasoning)
Not ranked
Basis
BenchAlign lane · 2 vs 0 public rows
Reading
Not comparable

Math

Not comparable
MiniMax M3
Not ranked
Ministral 3 3B (Reasoning)
Not ranked
Basis
Provisional lane · 1 vs 0 weighted rows
Reading
Not comparable

Multilingual

Not comparable
MiniMax M3
Not ranked
Ministral 3 3B (Reasoning)
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Multimodal

Not comparable
MiniMax M3
52.2
#34/48
Ministral 3 3B (Reasoning)
Not ranked
Basis
Provisional lane · 2 vs 0 weighted rows
Reading
Not comparable

Instruction following

Not comparable
MiniMax M3
93.7
#4/121
Ministral 3 3B (Reasoning)
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

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

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

MiniMax M3
$0.0009
Fits in one request
Ministral 3 3B (Reasoning)
$0.00015
Fits in one request

Ministral 3 3B (Reasoning) has the lower modeled cost

Costs use the listed standard API rates.

Repository review

50K fresh input + 3K output tokens

MiniMax M3
$0.0186
Fits in one request
Ministral 3 3B (Reasoning)
$0.0053
Fits in one request

Ministral 3 3B (Reasoning) has the lower modeled cost

Costs use the listed standard API rates.

Cache-heavy agent loop

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

MiniMax M3
$0.03
Fits in one request
Ministral 3 3B (Reasoning)
$0.023
Fits in one request
Cached input priced at the published list-input rate

Ministral 3 3B (Reasoning) has the lower modeled cost

Ministral 3 3B (Reasoning) has no published cached-input rate, so cached tokens use its listed input rate.

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.

MiniMax M3

1M

Ministral 3 3B (Reasoning)

256K

API model ID

MiniMax M3

Not sourced

Ministral 3 3B (Reasoning)

Not sourced

Cached-input rate

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

MiniMax M3

$0.06 per 1M cached input tokens

Ministral 3 3B (Reasoning)

Not published

Documented inputs

MiniMax M3

Not sourced

Ministral 3 3B (Reasoning)

Not sourced

Documented outputs

MiniMax M3

Not sourced

Ministral 3 3B (Reasoning)

Not sourced

Provider availability

MiniMax M3

Not sourced

Ministral 3 3B (Reasoning)

Not sourced

Reasoning profile

MiniMax M3

Non-Reasoning

Ministral 3 3B (Reasoning)

Reasoning

Weight access

MiniMax M3

Open Weight

Ministral 3 3B (Reasoning)

Open Weight

License

MiniMax M3

Open Weight

Ministral 3 3B (Reasoning)

Open Weight

Release date

MiniMax M3

2026-06-01

Ministral 3 3B (Reasoning)

2025-12-02

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: $0.0186 vs $0.0053. Cache-heavy agent loop: $0.03 vs $0.023.
Context tradeoff
MiniMax M3 has the larger documented window (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 evidence27 rows

Agentic

  • Terminal-Bench 2.0

    MiniMax M366%
    Source
    Ministral 3 3B (Reasoning)

    Not directly comparable

  • BrowseComp

    MiniMax M383.5%
    Source
    Ministral 3 3B (Reasoning)

    Not directly comparable

  • OSWorld-Verified

    MiniMax M370.1%
    Source
    Ministral 3 3B (Reasoning)

    Not directly comparable

  • MCP Atlas

    MiniMax M374.2%
    Source
    Ministral 3 3B (Reasoning)

    Not directly comparable

  • Claw-Eval

    MiniMax M374.5%
    Source
    Ministral 3 3B (Reasoning)

    Not directly comparable

  • BankerToolBench

    MiniMax M376.1%
    Source
    Ministral 3 3B (Reasoning)

    Not directly comparable

  • ResearchClawBench

    MiniMax M319.8%
    Source
    Ministral 3 3B (Reasoning)

    Not directly comparable

  • OSWorld 2.0

    MiniMax M34.6%
    Source
    Ministral 3 3B (Reasoning)

    Not directly comparable

  • Terminal-Bench 2.1 (Vals)

    MiniMax M353.6%
    Source
    Ministral 3 3B (Reasoning)

    Not directly comparable

Coding

  • SWE-bench Verified

    MiniMax M380.5%
    Source
    Ministral 3 3B (Reasoning)

    Not directly comparable

  • SWE-bench Pro

    MiniMax M359%
    Source
    Ministral 3 3B (Reasoning)

    Not directly comparable

  • Terminal-Bench 2.0

    MiniMax M366.0%
    Source
    Ministral 3 3B (Reasoning)

    Not directly comparable

  • NL2Repo

    MiniMax M342.1%
    Source
    Ministral 3 3B (Reasoning)

    Not directly comparable

  • VIBE V2

    MiniMax M350.1%
    Source
    Ministral 3 3B (Reasoning)

    Not directly comparable

  • SVG-Bench

    MiniMax M363.7%
    Source
    Ministral 3 3B (Reasoning)

    Not directly comparable

  • KernelBench Hard

    MiniMax M328.8%
    Source
    Ministral 3 3B (Reasoning)

    Not directly comparable

  • OpenHarmony Bench

    MiniMax M348.4%
    Source
    Ministral 3 3B (Reasoning)

    Not directly comparable

  • LiveCodeBench (Vals)

    MiniMax M382.2%
    Source
    Ministral 3 3B (Reasoning)

    Not directly comparable

  • SWE-bench (Vals)

    MiniMax M375.0%
    Source
    Ministral 3 3B (Reasoning)

    Not directly comparable

Knowledge

  • GPQA Diamond (Vals)

    MiniMax M392.7%
    Source
    Ministral 3 3B (Reasoning)

    Not directly comparable

  • MMLU-Pro (Vals)

    MiniMax M384.2%
    Source
    Ministral 3 3B (Reasoning)

    Not directly comparable

Math

  • USAMO 2026

    MiniMax M385.7%
    Source
    Ministral 3 3B (Reasoning)

    Not directly comparable

Multimodal

  • OfficeQA Pro

    MiniMax M345.1%
    Source
    Ministral 3 3B (Reasoning)

    Not directly comparable

  • OmniDocBench 1.5

    MiniMax M391.6%
    Source
    Ministral 3 3B (Reasoning)

    Not directly comparable

  • MMMU-Pro

    MiniMax M378.1%
    Source
    Ministral 3 3B (Reasoning)

    Not directly comparable

  • VideoMMMU

    MiniMax M384.6%
    Source
    Ministral 3 3B (Reasoning)

    Not directly comparable

  • Video-MME (with subtitle)

    MiniMax M385.4%
    Source
    Ministral 3 3B (Reasoning)

    Not directly comparable

Frequently asked questions

Which is better, MiniMax M3 or Ministral 3 3B (Reasoning)?

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, MiniMax M3 or Ministral 3 3B (Reasoning)?

Ministral 3 3B (Reasoning) is not ranked on the public lane for coding, so no winner is named for coding.

Which is better for agentic tasks, MiniMax M3 or Ministral 3 3B (Reasoning)?

Ministral 3 3B (Reasoning) is not ranked on the public lane for agentic tasks, so no winner is named for agentic tasks.

Which costs less, MiniMax M3 or Ministral 3 3B (Reasoning)?

For the stated presets, chat costs $0.0009 on MiniMax M3 and $0.00015 on Ministral 3 3B (Reasoning); repository review costs $0.0186 and $0.0053; the cache-heavy agent loop costs $0.03 and $0.023. Ministral 3 3B (Reasoning) has no published cached-input rate, so cached tokens use its listed input rate.

Which has the larger context window, MiniMax M3 or Ministral 3 3B (Reasoning)?

MiniMax M3 has the larger documented context window: 1M, compared with 256K.

Related comparisons

Last updated September 8, 2026

Watch MiniMax M3 vs Ministral 3 3B (Reasoning)

One weekly email when material rank, price, or benchmark evidence changes make this matchup worth revisiting.

Read a sample issue

Join 2,000+ readers.