vs
1:0
overall capability wins (1 ties across 2 scored). Codestral 25.08 leads overall.
- Pricing0:3
- Speed0:2
- Specs1:0
Verdict
Codestral 25.08 allows ~2.0x more max output (64K vs 33K); Ministral 3 8B ships open weights (Apache 2.0); Ministral 3 8B is ~3.0x cheaper on a blended token basis than Codestral 25.08.
- Codestral 25.08 allows ~2.0x more max output (64K vs 33K)
- Ministral 3 8B ships open weights (Apache 2.0)
- Ministral 3 8B is ~3.0x cheaper on a blended token basis than Codestral 25.08
Cost for 1M in + 250K out
Illustrative chat workload at primary-provider list prices.
- Codestral 25.08
- $0.53
- Ministral 3 8B
- $0.19
Ministral 3 8B is about 2.8x 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
Aug 1, 2025
Dec 1, 2025
Knowledge cutoff
-
-
API / provider
Mistral
Mistral
Modalities
text → text
text, image → text
Specs
Context window
256K
256K
Max output
64K
33K
Parameters
—
8B
Pricing
Input $/1M
$0.30
$0.15
Output $/1M
$0.90
$0.15
Blended $/1M (3∶1)
$0.45
$0.15
Speed
tok/s
110
150
TTFT (s)
0.25
0.18
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 | Codestral 25.08 | Ministral 3 8B | Delta |
|---|---|---|---|
| Identity | |||
| Organization | Mistral | Mistral | — |
| Family | Mistral | Mistral | — |
| License | Proprietary | Apache 2.0 | — |
| Open weights | No | Yes | — |
| Release | Aug 1, 2025 | Dec 1, 2025 | — |
| Knowledge cutoff | - | - | — |
| API / provider | Mistral | Mistral | — |
| Modalities | text → text | text, image → text | — |
| Specs | |||
| Context window | 256K | 256K | tie |
| Max output | 64K | 33K | A +31K |
| Parameters | — | 8B | — |
| Pricing | |||
| Input $/1M | $0.30 | $0.15 | B +$0.15 |
| Output $/1M | $0.90 | $0.15 | B +$0.75 |
| Blended $/1M (3∶1) | $0.45 | $0.15 | B +$0.30 |
| Speed | |||
| tok/s | 110 | 150 | B +40 |
| TTFT (s) | 0.25 | 0.18 | B +0.07 |
| 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 | — | — | — |
Codestral 25.08
- Context
- 256K / 64K out
- Parameters
- —
- Price
- $0.30 / $0.90
- Speed
- 110 tok/s · 0.25s TTFT
- Modalities
- text → text
- License
- Proprietary
Mistral's code-specialized model for fill-in-the-middle and IDE completions.
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.
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.