vs
6:2
overall capability wins (0 ties across 8 scored). Ministral 3 14B leads overall.
- Reasoning2:1
- Coding2:0
- Pricing3:0
- Speed2:0
- Specs2:1
Verdict
Ministral 3 14B leads coding (widest gap: +28.5 on LiveCode); Ministral 3 14B offers ~7.8x larger context (256K vs 33K); Ministral 3 14B allows ~4.0x more max output (33K vs 8K).
- Ministral 3 14B leads coding (widest gap: +28.5 on LiveCode)
- Ministral 3 14B offers ~7.8x larger context (256K vs 33K)
- Ministral 3 14B allows ~4.0x more max output (33K vs 8K)
- Ministral 3 14B is ~1.2x cheaper on a blended token basis than Mixtral 8x7B
Cost for 1M in + 250K out
Illustrative chat workload at primary-provider list prices.
- Ministral 3 14B
- $0.25
- Mixtral 8x7B
- $0.30
Ministral 3 14B is about 1.2x 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
Dec 1, 2025
Dec 11, 2023
Knowledge cutoff
-
-
API / provider
Mistral
Together / Fireworks (ref.)
Modalities
text, image → text
text → text
Specs
Context window
256K
33K
Max output
33K
8K
Parameters
14B
46.7B (12.9B act.)
Pricing
Input $/1M
$0.20
$0.24
Output $/1M
$0.20
$0.24
Blended $/1M (3∶1)
$0.20
$0.24
Speed
tok/s
130
90
TTFT (s)
0.2
0.3
Reasoning
MMLU-Pro
69.3
38.7
GPQA Diamond
57.2
29.2
Humanity's Last Exam
4.6
4.7
AIME 2025
30.0
—
MATH-500
—
29.9
Humanity's Last Exam (with tools)
—
—
AA-Omniscience Accuracy
13.6
—
AA-LCR v1.1
26.3
—
CritPt
—
—
MMMU-Pro
49.8
—
IFBench
32.0
—
Chartography
—
—
Chartography (With Tools)
—
—
Coding
SWE-bench Verified
—
—
SWE-bench Pro
—
—
SWE-bench Multilingual
—
—
LiveCodeBench
35.1
6.6
Terminal-Bench 2.1
9.7
—
Aider Polyglot
—
—
Terminal-Bench 3
—
—
BigCodeBench
—
—
SciCode
23.8
2.8
CursorBench
—
—
SWE-Rebench
—
—
NL2Repo-Bench
—
—
DeepSWE
—
—
WebDev Arena
—
—
Terminal-Bench 4.0
—
—
CursorBench 4.0
—
—
FrontierCode v1.1 (Main)
—
—
Arena
LMArena Elo
—
1,197
| Metric | Ministral 3 14B | Mixtral 8x7B | Delta |
|---|---|---|---|
| Identity | |||
| Organization | Mistral | Mistral | — |
| Family | Mistral | Mistral | — |
| License | Apache 2.0 | Apache 2.0 | — |
| Open weights | Yes | Yes | — |
| Release | Dec 1, 2025 | Dec 11, 2023 | — |
| Knowledge cutoff | - | - | — |
| API / provider | Mistral | Together / Fireworks (ref.) | — |
| Modalities | text, image → text | text → text | — |
| Specs | |||
| Context window | 256K | 33K | A +223K |
| Max output | 33K | 8K | A +25K |
| Parameters | 14B | 46.7B (12.9B act.) | B +33 |
| Pricing | |||
| Input $/1M | $0.20 | $0.24 | A +$0.04 |
| Output $/1M | $0.20 | $0.24 | A +$0.04 |
| Blended $/1M (3∶1) | $0.20 | $0.24 | A +$0.04 |
| Speed | |||
| tok/s | 130 | 90 | A +40 |
| TTFT (s) | 0.2 | 0.3 | A +0.10 |
| Reasoning | |||
| MMLU-Pro | 69.3 | 38.7 | A +30.6 pts |
| GPQA Diamond | 57.2 | 29.2 | A +28.0 pts |
| Humanity's Last Exam | 4.6 | 4.7 | B +0.1 pts |
| AIME 2025 | 30.0 | — | — |
| MATH-500 | — | 29.9 | — |
| Humanity's Last Exam (with tools) | — | — | — |
| AA-Omniscience Accuracy | 13.6 | — | — |
| AA-LCR v1.1 | 26.3 | — | — |
| CritPt | — | — | — |
| MMMU-Pro | 49.8 | — | — |
| IFBench | 32.0 | — | — |
| Chartography | — | — | — |
| Chartography (With Tools) | — | — | — |
| Coding | |||
| SWE-bench Verified | — | — | — |
| SWE-bench Pro | — | — | — |
| SWE-bench Multilingual | — | — | — |
| LiveCodeBench | 35.1 | 6.6 | A +28.5 pts |
| Terminal-Bench 2.1 | 9.7 | — | — |
| Aider Polyglot | — | — | — |
| Terminal-Bench 3 | — | — | — |
| BigCodeBench | — | — | — |
| SciCode | 23.8 | 2.8 | A +21.0 pts |
| CursorBench | — | — | — |
| SWE-Rebench | — | — | — |
| NL2Repo-Bench | — | — | — |
| DeepSWE | — | — | — |
| WebDev Arena | — | — | — |
| Terminal-Bench 4.0 | — | — | — |
| CursorBench 4.0 | — | — | — |
| FrontierCode v1.1 (Main) | — | — | — |
| Arena | |||
| LMArena Elo | — | 1,197 | — |
Ministral 3 14B
- Context
- 256K / 33K out
- Parameters
- 14B
- Price
- $0.20 / $0.20
- Speed
- 130 tok/s · 0.2s TTFT
- Modalities
- text, image → text
- License
- Apache 2.0
Largest Ministral 3 edge multimodal model with symmetric $0.20/$0.20 pricing.
Mixtral 8x7B
- Context
- 33K / 8K out
- Parameters
- 46.7B (12.9B act.)
- Price
- $0.24 / $0.24
- Speed
- 90 tok/s · 0.3s TTFT
- Modalities
- text → text
- License
- Apache 2.0
Breakout sparse MoE that made high-quality open chat practical on a single high-end GPU.
Benchmark charts
Winner bars are emphasized. Per-benchmark deltas sit above each chart.