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A · open · Mistral

Ministral 3 3B

Mistral

B · open · Mistral

Mistral Medium 3.5

Mistral

0:11

overall capability wins (1 ties across 12 scored). Mistral Medium 3.5 leads overall.

  • Reasoning0:6
  • Coding0:2
  • Tool use0:1
  • Composite indices0:2
  • Pricing3:0
  • Speed2:0
  • Specs0:2

Verdict

Mistral Medium 3.5 leads coding (widest gap: +50.6 on TermBench); Mistral Medium 3.5 allows ~2.0x more max output (64K vs 33K); Ministral 3 3B is ~30.0x cheaper on a blended token basis than Mistral Medium 3.5.

  • Mistral Medium 3.5 leads coding (widest gap: +50.6 on TermBench)
  • Mistral Medium 3.5 allows ~2.0x more max output (64K vs 33K)
  • Ministral 3 3B is ~30.0x cheaper on a blended token basis than Mistral Medium 3.5

Cost for 1M in + 250K out

Illustrative chat workload at primary-provider list prices.

Ministral 3 3B
$0.13
Mistral Medium 3.5
$3.38

Ministral 3 3B is about 27.0x cheaper on this workload.

Price per 1M tokens

Full comparison

Organization

Mistral

Mistral

Family

Mistral

Mistral

License

Apache 2.0

Modified MIT

Open weights

Yes

Yes

Release

Dec 1, 2025

Apr 22, 2026

Knowledge cutoff

-

-

API / provider

Mistral

Mistral

Modalities

text, image → text

text, image → text

Specs

Context window

256K

256K

tie

Max output

33K

64K

B +31K

Parameters

3B

128B

B +125

Pricing

Input $/1M

$0.10

$1.50

A +$1.40

Output $/1M

$0.10

$7.50

A +$7.40

Blended $/1M (3∶1)

$0.10

$3

A +$2.90

Speed

tok/s

180

80

A +100

TTFT (s)

0.15

0.4

A +0.25

Reasoning

MMLU-Pro

52.4

—

—

GPQA Diamond

35.8

74.8

B +39.0 pts

Humanity's Last Exam

5.4

13.8

B +8.4 pts

AIME 2025

22.0

—

—

MATH-500

—

—

—

Humanity's Last Exam (with tools)

—

—

—

AA-Omniscience Accuracy

9.0

24.7

B +15.7 pts

AA-LCR v1.1

17.0

69.3

B +52.3 pts

CritPt

—

—

—

MMMU-Pro

38.1

64.9

B +26.8 pts

IFBench

26.8

68.8

B +42.0 pts

Chartography

—

—

—

Chartography (With Tools)

—

—

—

Coding

SWE-bench Verified

—

—

—

SWE-bench Pro

—

—

—

SWE-bench Multilingual

—

—

—

LiveCodeBench

24.7

—

—

Terminal-Bench 2.1

0.0

50.6

B +50.6 pts

Aider Polyglot

—

—

—

Terminal-Bench 3

—

—

—

BigCodeBench

—

—

—

SciCode

15.3

40.2

B +24.9 pts

CursorBench

—

—

—

SWE-Rebench

—

—

—

NL2Repo-Bench

—

—

—

DeepSWE

—

—

—

WebDev Arena

—

1,265

—

Terminal-Bench 4.0

—

—

—

CursorBench 4.0

—

—

—

FrontierCode v1.1 (Main)

—

—

—

Arena

LMArena Elo

—

1,426

—

Ministral 3 3B

Context
256K / 33K out
Parameters
3B
Price
$0.10 / $0.10
Speed
180 tok/s · 0.15s TTFT
Modalities
text, image → text
License
Apache 2.0

Tiny Ministral 3 multimodal model - cheapest Mistral hosted tier for edge and classification.

Mistral Medium 3.5

Context
256K / 64K out
Parameters
128B
Price
$1.50 / $7.50
Speed
80 tok/s · 0.4s TTFT
Modalities
text, image → text
License
Modified MIT

Mistral's April 2026 frontier multimodal model (open weights, Modified MIT) powering Vibe remote agents at $1.50/$7.50.

Benchmark charts

Winner bars are emphasized. Per-benchmark deltas sit above each chart.

Reasoning & knowledge

GPQA: B +39.0HLE: B +8.4AA-LCR: B +52.3Omniscience Acc.: B +15.7MMMU-Pro: B +26.8IFBench: B +42.0

Coding

TermBench: B +50.6SciCode: B +24.9

Tool use & function calling

τ³-Banking: B +10.4

Composite indices

AA Index: B +10.1AA Index v4.3: B +10.1

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