vs
3:0
overall capability wins (0 ties across 3 scored). Mistral Medium 3.5 leads overall.
- Pricing0:3
- Speed0:2
- Specs3:0
Verdict
Mistral Medium 3.5 offers ~8.0x larger context (256K vs 32K); Mistral Medium 3.5 allows ~7.8x more max output (64K vs 8K); Voxtral Small is ~20.0x cheaper on a blended token basis than Mistral Medium 3.5.
- Mistral Medium 3.5 offers ~8.0x larger context (256K vs 32K)
- Mistral Medium 3.5 allows ~7.8x more max output (64K vs 8K)
- Voxtral Small is ~20.0x 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.
- Mistral Medium 3.5
- $3.38
- Voxtral Small
- $0.17
Voxtral Small is about 19.3x cheaper on this workload.
Price per 1M tokens
Full comparison
Organization
Mistral
Mistral
Family
Mistral
Mistral
License
Modified MIT
Apache 2.0
Open weights
Yes
Yes
Release
Apr 22, 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
128B
24B
Pricing
Input $/1M
$1.50
$0.10
Output $/1M
$7.50
$0.30
Blended $/1M (3∶1)
$3
$0.15
Speed
tok/s
80
90
TTFT (s)
0.4
0.35
Reasoning
MMLU-Pro
—
—
GPQA Diamond
74.8
—
Humanity's Last Exam
13.8
—
AIME 2025
—
—
MATH-500
—
—
Humanity's Last Exam (with tools)
—
—
AA-Omniscience Accuracy
24.7
—
AA-LCR v1.1
69.3
—
CritPt
—
—
MMMU-Pro
64.9
—
IFBench
68.8
—
Chartography
—
—
Chartography (With Tools)
—
—
Coding
SWE-bench Verified
—
—
SWE-bench Pro
—
—
SWE-bench Multilingual
—
—
LiveCodeBench
—
—
Terminal-Bench 2.1
50.6
—
Aider Polyglot
—
—
Terminal-Bench 3
—
—
BigCodeBench
—
—
SciCode
40.2
—
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
—
| Metric | Mistral Medium 3.5 | Voxtral Small | Delta |
|---|---|---|---|
| Identity | |||
| Organization | Mistral | Mistral | — |
| Family | Mistral | Mistral | — |
| License | Modified MIT | Apache 2.0 | — |
| Open weights | Yes | Yes | — |
| Release | Apr 22, 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 | 128B | 24B | A +104 |
| Pricing | |||
| Input $/1M | $1.50 | $0.10 | B +$1.40 |
| Output $/1M | $7.50 | $0.30 | B +$7.20 |
| Blended $/1M (3∶1) | $3 | $0.15 | B +$2.85 |
| Speed | |||
| tok/s | 80 | 90 | B +10 |
| TTFT (s) | 0.4 | 0.35 | B +0.05 |
| Reasoning | |||
| MMLU-Pro | — | — | — |
| GPQA Diamond | 74.8 | — | — |
| Humanity's Last Exam | 13.8 | — | — |
| AIME 2025 | — | — | — |
| MATH-500 | — | — | — |
| Humanity's Last Exam (with tools) | — | — | — |
| AA-Omniscience Accuracy | 24.7 | — | — |
| AA-LCR v1.1 | 69.3 | — | — |
| CritPt | — | — | — |
| MMMU-Pro | 64.9 | — | — |
| IFBench | 68.8 | — | — |
| Chartography | — | — | — |
| Chartography (With Tools) | — | — | — |
| Coding | |||
| SWE-bench Verified | — | — | — |
| SWE-bench Pro | — | — | — |
| SWE-bench Multilingual | — | — | — |
| LiveCodeBench | — | — | — |
| Terminal-Bench 2.1 | 50.6 | — | — |
| Aider Polyglot | — | — | — |
| Terminal-Bench 3 | — | — | — |
| BigCodeBench | — | — | — |
| SciCode | 40.2 | — | — |
| 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 | — | — |
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.
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.