vs
0:0
overall capability wins (2 ties across 2 scored). Mistral Medium 3.5 leads overall.
- Pricing3:0
- Speed2:0
Verdict
Mistral Medium 3.5 ships open weights (Modified MIT); Codestral 25.08 is ~6.7x cheaper on a blended token basis than Mistral Medium 3.5.
- Mistral Medium 3.5 ships open weights (Modified MIT)
- Codestral 25.08 is ~6.7x 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.
- Codestral 25.08
- $0.53
- Mistral Medium 3.5
- $3.38
Codestral 25.08 is about 6.4x cheaper on this workload.
Price per 1M tokens
Full comparison
Organization
Mistral
Mistral
Family
Mistral
Mistral
License
Proprietary
Modified MIT
Open weights
No
Yes
Release
Aug 1, 2025
Apr 22, 2026
Knowledge cutoff
-
-
API / provider
Mistral
Mistral
Modalities
text → text
text, image → text
Specs
Context window
256K
256K
Max output
64K
64K
Parameters
—
128B
Pricing
Input $/1M
$0.30
$1.50
Output $/1M
$0.90
$7.50
Blended $/1M (3∶1)
$0.45
$3
Speed
tok/s
110
80
TTFT (s)
0.25
0.4
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 | Codestral 25.08 | Mistral Medium 3.5 | Delta |
|---|---|---|---|
| Identity | |||
| Organization | Mistral | Mistral | — |
| Family | Mistral | Mistral | — |
| License | Proprietary | Modified MIT | — |
| Open weights | No | Yes | — |
| Release | Aug 1, 2025 | Apr 22, 2026 | — |
| Knowledge cutoff | - | - | — |
| API / provider | Mistral | Mistral | — |
| Modalities | text → text | text, image → text | — |
| Specs | |||
| Context window | 256K | 256K | tie |
| Max output | 64K | 64K | tie |
| Parameters | — | 128B | — |
| Pricing | |||
| Input $/1M | $0.30 | $1.50 | A +$1.20 |
| Output $/1M | $0.90 | $7.50 | A +$6.60 |
| Blended $/1M (3∶1) | $0.45 | $3 | A +$2.55 |
| Speed | |||
| tok/s | 110 | 80 | A +30 |
| TTFT (s) | 0.25 | 0.4 | A +0.15 |
| 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 | — |
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.
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.
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.