vs
2:1
overall capability wins (0 ties across 3 scored). Ministral 3 8B leads overall.
- Speed2:0
- Specs2:1
Verdict
Ministral 3 8B offers ~2.0x larger context (256K vs 128K); Ministral 3 8B allows ~4.0x more max output (33K vs 8K).
- Ministral 3 8B offers ~2.0x larger context (256K vs 128K)
- Ministral 3 8B allows ~4.0x more max output (33K vs 8K)
Cost for 1M in + 250K out
Illustrative chat workload at primary-provider list prices.
- Ministral 3 8B
- $0.19
- Mistral Nemo 12B
- $0.19
Price per 1M tokens
Full comparison
Organization
Mistral
Mistral
Family
Mistral
Mistral
License
Apache 2.0
Apache 2.0
Open weights
Yes
Yes
Release
Dec 1, 2025
Jul 18, 2024
Knowledge cutoff
-
-
API / provider
Mistral
Mistral
Modalities
text, image → text
text → text
Specs
Context window
256K
128K
Max output
33K
8K
Parameters
8B
12B
Pricing
Input $/1M
$0.15
$0.15
Output $/1M
$0.15
$0.15
Blended $/1M (3∶1)
$0.15
$0.15
Speed
tok/s
150
140
TTFT (s)
0.18
0.2
Reasoning
MMLU-Pro
64.2
—
GPQA Diamond
47.1
—
Humanity's Last Exam
4.3
—
AIME 2025
31.7
—
MATH-500
—
—
Humanity's Last Exam (with tools)
—
—
AA-Omniscience Accuracy
13.0
—
AA-LCR v1.1
25.7
—
CritPt
—
—
MMMU-Pro
46.0
—
IFBench
29.1
—
Chartography
—
—
Chartography (With Tools)
—
—
Coding
SWE-bench Verified
—
—
SWE-bench Pro
—
—
SWE-bench Multilingual
—
—
LiveCodeBench
30.3
—
Terminal-Bench 2.1
4.1
—
Aider Polyglot
—
—
Terminal-Bench 3
—
—
BigCodeBench
—
—
SciCode
20.7
—
CursorBench
—
—
SWE-Rebench
—
—
NL2Repo-Bench
—
—
DeepSWE
—
—
WebDev Arena
—
—
Terminal-Bench 4.0
—
—
CursorBench 4.0
—
—
FrontierCode v1.1 (Main)
—
—
Arena
LMArena Elo
—
—
| Metric | Ministral 3 8B | Mistral Nemo 12B | Delta |
|---|---|---|---|
| Identity | |||
| Organization | Mistral | Mistral | — |
| Family | Mistral | Mistral | — |
| License | Apache 2.0 | Apache 2.0 | — |
| Open weights | Yes | Yes | — |
| Release | Dec 1, 2025 | Jul 18, 2024 | — |
| Knowledge cutoff | - | - | — |
| API / provider | Mistral | Mistral | — |
| Modalities | text, image → text | text → text | — |
| Specs | |||
| Context window | 256K | 128K | A +128K |
| Max output | 33K | 8K | A +25K |
| Parameters | 8B | 12B | B +4.00 |
| Pricing | |||
| Input $/1M | $0.15 | $0.15 | tie |
| Output $/1M | $0.15 | $0.15 | tie |
| Blended $/1M (3∶1) | $0.15 | $0.15 | tie |
| Speed | |||
| tok/s | 150 | 140 | A +10 |
| TTFT (s) | 0.18 | 0.2 | A +0.02 |
| Reasoning | |||
| MMLU-Pro | 64.2 | — | — |
| GPQA Diamond | 47.1 | — | — |
| Humanity's Last Exam | 4.3 | — | — |
| AIME 2025 | 31.7 | — | — |
| MATH-500 | — | — | — |
| Humanity's Last Exam (with tools) | — | — | — |
| AA-Omniscience Accuracy | 13.0 | — | — |
| AA-LCR v1.1 | 25.7 | — | — |
| CritPt | — | — | — |
| MMMU-Pro | 46.0 | — | — |
| IFBench | 29.1 | — | — |
| Chartography | — | — | — |
| Chartography (With Tools) | — | — | — |
| Coding | |||
| SWE-bench Verified | — | — | — |
| SWE-bench Pro | — | — | — |
| SWE-bench Multilingual | — | — | — |
| LiveCodeBench | 30.3 | — | — |
| Terminal-Bench 2.1 | 4.1 | — | — |
| Aider Polyglot | — | — | — |
| Terminal-Bench 3 | — | — | — |
| BigCodeBench | — | — | — |
| SciCode | 20.7 | — | — |
| CursorBench | — | — | — |
| SWE-Rebench | — | — | — |
| NL2Repo-Bench | — | — | — |
| DeepSWE | — | — | — |
| WebDev Arena | — | — | — |
| Terminal-Bench 4.0 | — | — | — |
| CursorBench 4.0 | — | — | — |
| FrontierCode v1.1 (Main) | — | — | — |
| Arena | |||
| LMArena Elo | — | — | — |
Ministral 3 8B
- Context
- 256K / 33K out
- Parameters
- 8B
- Price
- $0.15 / $0.15
- Speed
- 150 tok/s · 0.18s TTFT
- Modalities
- text, image → text
- License
- Apache 2.0
Efficient Ministral 3 vision-capable edge model with symmetric token pricing.
Mistral Nemo 12B
- Context
- 128K / 8K out
- Parameters
- 12B
- Price
- $0.15 / $0.15
- Speed
- 140 tok/s · 0.2s TTFT
- Modalities
- text → text
- License
- Apache 2.0
Compact open Mistral x NVIDIA collab model - popular edge and multilingual baseline.
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.