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Model comparison

Claude Opus 4.5 vs Ministral 3 3B

Updated July 28, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.

Claude Opus 4.5

Anthropic

63.4/100

Supported · Public rank #39

90% interval 50.1–76.7

Ministral 3 3B

Mistral

—

Evidence status unavailable

90% interval unavailable

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.

  • Long documents

    Prompts that approach the documented context limit

    Ministral 3 3B

    Ministral 3 3B has the larger documented context window.

    Confidence: documented

  • Chat turn cost

    1K fresh input + 500 output tokens

    Ministral 3 3B

    Ministral 3 3B 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

    Ministral 3 3B

    Ministral 3 3B 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

  • Cache-heavy agent loop cost

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

    Not enough matched evidence

    The page does not recommend a cost winner because at least one model cannot fit the stated workload in one request. Claude Opus 4.5 does not fit this workload in one request. Claude Opus 4.5 has no published cached-input rate, so cached tokens use its listed input rate. Ministral 3 3B has no published cached-input rate, so cached tokens use its listed input rate.

    Confidence: rate-fallback

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
Claude Opus 4.5 only
45
Ministral 3 3B only
0
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
Claude Opus 4.5
62.6
Ministral 3 3B
Not measured
Weighted basis
2 vs 0 rows
Reading
Not comparable

Coding

Not comparable
Claude Opus 4.5
71.7
Ministral 3 3B
Not measured
Weighted basis
2 vs 0 rows
Reading
Not comparable

Reasoning

Not comparable
Claude Opus 4.5
64.4
Ministral 3 3B
Not measured
Weighted basis
1 vs 0 rows
Reading
Not comparable

Knowledge

Not comparable
Claude Opus 4.5
58.1
Ministral 3 3B
Not measured
Weighted basis
4 vs 0 rows
Reading
Not comparable

Math

Not comparable
Claude Opus 4.5
57.5
Ministral 3 3B
Not measured
Weighted basis
4 vs 0 rows
Reading
Not comparable

Multilingual

Not comparable
Claude Opus 4.5
85.7
Ministral 3 3B
Not measured
Weighted basis
1 vs 0 rows
Reading
Not comparable

Multimodal

Not comparable
Claude Opus 4.5
69.9
Ministral 3 3B
Not measured
Weighted basis
2 vs 0 rows
Reading
Not comparable

Instruction following

Not comparable
Claude Opus 4.5
69.5
Ministral 3 3B
Not measured
Weighted basis
2 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

Claude Opus 4.5
$0.0175
Fits in one request
Ministral 3 3B
$0.00015
Fits in one request

Ministral 3 3B has the lower modeled cost

Costs use the listed standard API rates.

Repository review

50K fresh input + 3K output tokens

Claude Opus 4.5
$0.325
Fits in one request
Ministral 3 3B
$0.0053
Fits in one request

Ministral 3 3B has the lower modeled cost

Costs use the listed standard API rates.

Cache-heavy agent loop

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

Claude Opus 4.5
$1.35
Does not fit in one request
Cached input priced at the published list-input rate
Ministral 3 3B
$0.023
Fits in one request
Cached input priced at the published list-input rate

Claude Opus 4.5 does not fit this workload in one request. Claude Opus 4.5 has no published cached-input rate, so cached tokens use its listed input rate. Ministral 3 3B 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.

Claude Opus 4.5

200K

Ministral 3 3B

256K

API model ID

Claude Opus 4.5

Not sourced

Ministral 3 3B

Not sourced

Cached-input rate

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

Claude Opus 4.5

Not published

Ministral 3 3B

Not published

Documented inputs

Claude Opus 4.5

Not sourced

Ministral 3 3B

Not sourced

Documented outputs

Claude Opus 4.5

Not sourced

Ministral 3 3B

Not sourced

Provider availability

Claude Opus 4.5

Not sourced

Ministral 3 3B

Not sourced

Reasoning profile

Claude Opus 4.5

Non-Reasoning

Ministral 3 3B

Non-Reasoning

Weight access

Claude Opus 4.5

Proprietary

Ministral 3 3B

Open Weight

License

Claude Opus 4.5

Proprietary

Ministral 3 3B

Open Weight

Release date

Claude Opus 4.5

2025-11-01

Ministral 3 3B

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: $0.325 vs $0.0053. Cache-heavy agent loop: $1.35 vs $0.023.
Context tradeoff
Ministral 3 3B has the larger documented window (256K).

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 evidence45 rows

Agentic

  • Terminal-Bench 2.0

    Claude Opus 4.559.3%
    Source
    Ministral 3 3B—

    Not directly comparable

  • OSWorld-Verified

    Claude Opus 4.566.3%
    Source
    Ministral 3 3B—

    Not directly comparable

  • OSWorld

    Claude Opus 4.566.3%
    Source
    Ministral 3 3B—

    Not directly comparable

  • Claw-Eval

    Claude Opus 4.559.6%
    Source
    Ministral 3 3B—

    Not directly comparable

  • QwenClawBench

    Claude Opus 4.552.3%
    Source
    Ministral 3 3B—

    Not directly comparable

  • τ³-bench results

    Claude Opus 4.570.2%
    Source
    Ministral 3 3B—

    Not directly comparable

  • VITA-Bench

    Claude Opus 4.523.3%
    Source
    Ministral 3 3B—

    Not directly comparable

  • DeepPlanning

    Claude Opus 4.526.4%
    Source
    Ministral 3 3B—

    Not directly comparable

  • Toolathlon

    Claude Opus 4.543.5%
    Source
    Ministral 3 3B—

    Not directly comparable

  • MCP Atlas

    Claude Opus 4.542.3%
    Source
    Ministral 3 3B—

    Not directly comparable

  • MCP-Tasks

    Claude Opus 4.571.8%
    Source
    Ministral 3 3B—

    Not directly comparable

  • WideResearch

    Claude Opus 4.576.4%
    Source
    Ministral 3 3B—

    Not directly comparable

  • CyberGym

    Claude Opus 4.550.6%
    Source
    Ministral 3 3B—

    Not directly comparable

  • Gert Labs

    Claude Opus 4.564.23%
    Source
    Ministral 3 3B—

    Not directly comparable

  • JobBench

    Claude Opus 4.532.3%
    Source
    Ministral 3 3B—

    Not directly comparable

Coding

  • SWE-bench Verified

    Claude Opus 4.580.9%
    Source
    Ministral 3 3B—

    Not directly comparable

  • LiveCodeBench v6

    Claude Opus 4.584.8%
    Source
    Ministral 3 3B—

    Not directly comparable

  • SWE-bench Pro

    Claude Opus 4.557.1%
    Source
    Ministral 3 3B—

    Not directly comparable

  • SWE Multilingual

    Claude Opus 4.577.5%
    Source
    Ministral 3 3B—

    Not directly comparable

  • NL2Repo

    Claude Opus 4.543.2%
    Source
    Ministral 3 3B—

    Not directly comparable

Reasoning

  • LongBench v2

    Claude Opus 4.564.4%
    Source
    Ministral 3 3B—

    Not directly comparable

  • AI-Needle

    Claude Opus 4.574%
    Source
    Ministral 3 3B—

    Not directly comparable

Knowledge

  • GPQA

    Claude Opus 4.587%
    Source
    Ministral 3 3B—

    Not directly comparable

  • SuperGPQA

    Claude Opus 4.570.6%
    Source
    Ministral 3 3B—

    Not directly comparable

  • MMLU-Pro

    Claude Opus 4.589.5%
    Source
    Ministral 3 3B—

    Not directly comparable

  • MMLU-Redux

    Claude Opus 4.596.6%
    Source
    Ministral 3 3B—

    Not directly comparable

  • C-Eval

    Claude Opus 4.592.2%
    Source
    Ministral 3 3B—

    Not directly comparable

  • HLE

    Claude Opus 4.530.8%
    Source
    Ministral 3 3B—

    Not directly comparable

Math

  • AIME26

    Claude Opus 4.595.1%
    Source
    Ministral 3 3B—

    Not directly comparable

  • HMMT Feb 2025

    Claude Opus 4.592.9%
    Source
    Ministral 3 3B—

    Not directly comparable

  • HMMT Nov 2025

    Claude Opus 4.593.3%
    Source
    Ministral 3 3B—

    Not directly comparable

  • HMMT Feb 2026

    Claude Opus 4.585.3%
    Source
    Ministral 3 3B—

    Not directly comparable

  • MMAnswerBench

    Claude Opus 4.584.0%
    Source
    Ministral 3 3B—

    Not directly comparable

  • FrontierMath v2 (Tiers 1-3)

    Claude Opus 4.520.690%
    Source
    Ministral 3 3B—

    Not directly comparable

  • FrontierMath v2 (Tier 4)

    Claude Opus 4.54.167%
    Source
    Ministral 3 3B—

    Not directly comparable

Multilingual

  • MMLU-ProX

    Claude Opus 4.585.7%
    Source
    Ministral 3 3B—

    Not directly comparable

  • NOVA-63

    Claude Opus 4.556.7%
    Source
    Ministral 3 3B—

    Not directly comparable

Multimodal

  • MMMU-Pro

    Claude Opus 4.570.6%
    Source
    Ministral 3 3B—

    Not directly comparable

  • MathVision

    Claude Opus 4.574.3%
    Source
    Ministral 3 3B—

    Not directly comparable

  • CharXiv

    Claude Opus 4.568.5%
    Source
    Ministral 3 3B—

    Not directly comparable

  • VideoMMMU

    Claude Opus 4.584.4%
    Source
    Ministral 3 3B—

    Not directly comparable

  • ScreenSpot Pro

    Claude Opus 4.545.7%
    Source
    Ministral 3 3B—

    Not directly comparable

  • V*

    Claude Opus 4.567.0%
    Source
    Ministral 3 3B—

    Not directly comparable

Instruction following

  • IFEval

    Claude Opus 4.590.9%
    Source
    Ministral 3 3B—

    Not directly comparable

  • IFBench

    Claude Opus 4.558%
    Source
    Ministral 3 3B—

    Not directly comparable

Frequently asked questions

Which is better, Claude Opus 4.5 or Ministral 3 3B?

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, Claude Opus 4.5 or Ministral 3 3B?

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, Claude Opus 4.5 or Ministral 3 3B?

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, Claude Opus 4.5 or Ministral 3 3B?

For the stated presets, chat costs $0.0175 on Claude Opus 4.5 and $0.00015 on Ministral 3 3B; repository review costs $0.325 and $0.0053; the cache-heavy agent loop costs $1.35 and $0.023. Claude Opus 4.5 does not fit this workload in one request. Claude Opus 4.5 has no published cached-input rate, so cached tokens use its listed input rate. Ministral 3 3B has no published cached-input rate, so cached tokens use its listed input rate.

Which has the larger context window, Claude Opus 4.5 or Ministral 3 3B?

Ministral 3 3B has the larger documented context window: 256K, compared with 200K.

Related comparisons

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Last updated July 28, 2026

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