vs
0:2
overall capability wins (0 ties across 2 scored). Mistral Small 4 leads overall.
- Pricing0:3
- Speed0:2
- Specs0:2
Verdict
Mistral Small 4 offers ~2.0x larger context (256K vs 128K); Mistral Small 4 allows ~1.6x more max output (64K vs 40K); Mistral Small 4 ships open weights (Apache 2.0).
- Mistral Small 4 offers ~2.0x larger context (256K vs 128K)
- Mistral Small 4 allows ~1.6x more max output (64K vs 40K)
- Mistral Small 4 ships open weights (Apache 2.0)
- Mistral Small 4 is ~10.5x cheaper on a blended token basis than Magistral Medium
Cost for 1M in + 250K out
Illustrative chat workload at primary-provider list prices.
- Magistral Medium
- $3.25
- Mistral Small 4
- $0.30
Mistral Small 4 is about 10.8x cheaper on this workload.
Price per 1M tokens
Full comparison
Organization
Mistral
Mistral
Family
Mistral
Mistral
License
Proprietary
Apache 2.0
Open weights
No
Yes
Release
Jul 1, 2025
Mar 1, 2026
Knowledge cutoff
-
-
API / provider
Mistral
Mistral
Modalities
text, image → text
text, image → text
Specs
Context window
128K
256K
Max output
40K
64K
Parameters
—
—
Pricing
Input $/1M
$2
$0.15
Output $/1M
$5
$0.60
Blended $/1M (3∶1)
$2.75
$0.26
Speed
tok/s
60
140
TTFT (s)
0.8
0.2
Reasoning
MMLU-Pro
—
—
GPQA Diamond
—
76.9
Humanity's Last Exam
—
9.9
AIME 2025
—
—
MATH-500
—
—
Humanity's Last Exam (with tools)
—
—
AA-Omniscience Accuracy
—
21.7
AA-LCR v1.1
—
49.7
CritPt
—
0.3
MMMU-Pro
—
56.8
IFBench
—
48.2
Chartography
—
—
Chartography (With Tools)
—
—
Coding
SWE-bench Verified
—
—
SWE-bench Pro
—
—
SWE-bench Multilingual
—
—
LiveCodeBench
—
—
Terminal-Bench 2.1
—
21.0
Aider Polyglot
—
—
Terminal-Bench 3
—
—
BigCodeBench
—
—
SciCode
—
38.8
CursorBench
—
—
SWE-Rebench
—
—
NL2Repo-Bench
—
—
DeepSWE
—
—
WebDev Arena
—
—
Terminal-Bench 4.0
—
—
CursorBench 4.0
—
—
FrontierCode v1.1 (Main)
—
—
Arena
LMArena Elo
—
—
| Metric | Magistral Medium | Mistral Small 4 | Delta |
|---|---|---|---|
| Identity | |||
| Organization | Mistral | Mistral | — |
| Family | Mistral | Mistral | — |
| License | Proprietary | Apache 2.0 | — |
| Open weights | No | Yes | — |
| Release | Jul 1, 2025 | Mar 1, 2026 | — |
| Knowledge cutoff | - | - | — |
| API / provider | Mistral | Mistral | — |
| Modalities | text, image → text | text, image → text | — |
| Specs | |||
| Context window | 128K | 256K | B +128K |
| Max output | 40K | 64K | B +24K |
| Parameters | — | — | — |
| Pricing | |||
| Input $/1M | $2 | $0.15 | B +$1.85 |
| Output $/1M | $5 | $0.60 | B +$4.40 |
| Blended $/1M (3∶1) | $2.75 | $0.26 | B +$2.49 |
| Speed | |||
| tok/s | 60 | 140 | B +80 |
| TTFT (s) | 0.8 | 0.2 | B +0.60 |
| Reasoning | |||
| MMLU-Pro | — | — | — |
| GPQA Diamond | — | 76.9 | — |
| Humanity's Last Exam | — | 9.9 | — |
| AIME 2025 | — | — | — |
| MATH-500 | — | — | — |
| Humanity's Last Exam (with tools) | — | — | — |
| AA-Omniscience Accuracy | — | 21.7 | — |
| AA-LCR v1.1 | — | 49.7 | — |
| CritPt | — | 0.3 | — |
| MMMU-Pro | — | 56.8 | — |
| IFBench | — | 48.2 | — |
| Chartography | — | — | — |
| Chartography (With Tools) | — | — | — |
| Coding | |||
| SWE-bench Verified | — | — | — |
| SWE-bench Pro | — | — | — |
| SWE-bench Multilingual | — | — | — |
| LiveCodeBench | — | — | — |
| Terminal-Bench 2.1 | — | 21.0 | — |
| Aider Polyglot | — | — | — |
| Terminal-Bench 3 | — | — | — |
| BigCodeBench | — | — | — |
| SciCode | — | 38.8 | — |
| CursorBench | — | — | — |
| SWE-Rebench | — | — | — |
| NL2Repo-Bench | — | — | — |
| DeepSWE | — | — | — |
| WebDev Arena | — | — | — |
| Terminal-Bench 4.0 | — | — | — |
| CursorBench 4.0 | — | — | — |
| FrontierCode v1.1 (Main) | — | — | — |
| Arena | |||
| LMArena Elo | — | — | — |
Magistral Medium
- Context
- 128K / 40K out
- Parameters
- —
- Price
- $2 / $5
- Speed
- 60 tok/s · 0.8s TTFT
- Modalities
- text, image → text
- License
- Proprietary
Mistral's thinking/reasoning Premier model for transparent multilingual domain reasoning.
Mistral Small 4
- Context
- 256K / 64K out
- Parameters
- —
- Price
- $0.15 / $0.60
- Speed
- 140 tok/s · 0.2s TTFT
- Modalities
- text, image → text
- License
- Apache 2.0
Hybrid instruct/reasoning/coding Small model under Apache 2.0 - Mistral's high-throughput production default.
Benchmark charts
Winner bars are emphasized. Per-benchmark deltas sit above each chart.
These two models have no overlapping published benchmarks in our dataset. Compare specs and pricing instead.