vs
2:0
overall capability wins (0 ties across 2 scored). Mistral Small 4 leads overall.
- Pricing0:3
- Speed2:0
- Specs2:0
Verdict
Mistral Small 4 offers ~8.0x larger context (256K vs 32K); Mistral Small 4 allows ~7.8x more max output (64K vs 8K); Voxtral Small is ~1.7x cheaper on a blended token basis than Mistral Small 4.
- Mistral Small 4 offers ~8.0x larger context (256K vs 32K)
- Mistral Small 4 allows ~7.8x more max output (64K vs 8K)
- Voxtral Small is ~1.7x cheaper on a blended token basis than Mistral Small 4
Cost for 1M in + 250K out
Illustrative chat workload at primary-provider list prices.
- Mistral Small 4
- $0.30
- Voxtral Small
- $0.17
Voxtral Small is about 1.7x cheaper on this workload.
Price per 1M tokens
Full comparison
Organization
Mistral
Mistral
Family
Mistral
Mistral
License
Apache 2.0
Apache 2.0
Open weights
Yes
Yes
Release
Mar 1, 2026
Jul 15, 2025
Knowledge cutoff
-
-
API / provider
Mistral
Mistral
Modalities
text, image → text
text, audio → text
Specs
Context window
256K
32K
Max output
64K
8K
Parameters
—
24B
Pricing
Input $/1M
$0.15
$0.10
Output $/1M
$0.60
$0.30
Blended $/1M (3∶1)
$0.26
$0.15
Speed
tok/s
140
90
TTFT (s)
0.2
0.35
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 | Mistral Small 4 | Voxtral Small | Delta |
|---|---|---|---|
| Identity | |||
| Organization | Mistral | Mistral | — |
| Family | Mistral | Mistral | — |
| License | Apache 2.0 | Apache 2.0 | — |
| Open weights | Yes | Yes | — |
| Release | Mar 1, 2026 | Jul 15, 2025 | — |
| Knowledge cutoff | - | - | — |
| API / provider | Mistral | Mistral | — |
| Modalities | text, image → text | text, audio → text | — |
| Specs | |||
| Context window | 256K | 32K | A +224K |
| Max output | 64K | 8K | A +56K |
| Parameters | — | 24B | — |
| Pricing | |||
| Input $/1M | $0.15 | $0.10 | B +$0.05 |
| Output $/1M | $0.60 | $0.30 | B +$0.30 |
| Blended $/1M (3∶1) | $0.26 | $0.15 | B +$0.11 |
| Speed | |||
| tok/s | 140 | 90 | A +50 |
| TTFT (s) | 0.2 | 0.35 | A +0.15 |
| 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 | — | — | — |
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.
Voxtral Small
- Context
- 32K / 8K out
- Parameters
- 24B
- Price
- $0.10 / $0.30
- Speed
- 90 tok/s · 0.35s TTFT
- Modalities
- text, audio → text
- License
- Apache 2.0
Mistral's open audio-understanding model for speech-to-text reasoning and voice agents.
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.