vs
0:6
overall capability wins (0 ties across 6 scored). Mistral Medium 3.5 leads overall.
- Reasoning0:2
- Coding0:1
- Arena0:1
- Pricing0:3
- Speed0:2
- Specs0:2
Verdict
Mistral Medium 3.5 leads coding (widest gap: +19.4 on SciCode); Mistral Medium 3.5 ranks higher on LMArena (+184 Elo); Mistral Medium 3.5 offers ~7.8x larger context (256K vs 33K).
- Mistral Medium 3.5 leads coding (widest gap: +19.4 on SciCode)
- Mistral Medium 3.5 ranks higher on LMArena (+184 Elo)
- Mistral Medium 3.5 offers ~7.8x larger context (256K vs 33K)
- Mistral Medium 3.5 allows ~7.8x more max output (64K vs 8K)
- Mistral Medium 3.5 ships open weights (Modified MIT)
- Mistral Medium 3.5 is ~2.0x cheaper on a blended token basis than Mistral Large
Cost for 1M in + 250K out
Illustrative chat workload at primary-provider list prices.
- Mistral Large
- $7
- Mistral Medium 3.5
- $3.38
Mistral Medium 3.5 is about 2.1x 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
Feb 26, 2024
Apr 22, 2026
Knowledge cutoff
-
-
API / provider
Mistral
Mistral
Modalities
text → text
text, image → text
Specs
Context window
33K
256K
Max output
8K
64K
Parameters
—
128B
Pricing
Input $/1M
$4
$1.50
Output $/1M
$12
$7.50
Blended $/1M (3∶1)
$6
$3
Speed
tok/s
55
80
TTFT (s)
0.55
0.4
Reasoning
MMLU-Pro
51.5
—
GPQA Diamond
35.1
74.8
Humanity's Last Exam
3.5
13.8
AIME 2025
—
—
MATH-500
52.7
—
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
17.8
—
Terminal-Bench 2.1
—
50.6
Aider Polyglot
—
—
Terminal-Bench 3
—
—
BigCodeBench
30.0
—
SciCode
20.8
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
1,242
1,426
| Metric | Mistral Large | Mistral Medium 3.5 | Delta |
|---|---|---|---|
| Identity | |||
| Organization | Mistral | Mistral | — |
| Family | Mistral | Mistral | — |
| License | Proprietary | Modified MIT | — |
| Open weights | No | Yes | — |
| Release | Feb 26, 2024 | Apr 22, 2026 | — |
| Knowledge cutoff | - | - | — |
| API / provider | Mistral | Mistral | — |
| Modalities | text → text | text, image → text | — |
| Specs | |||
| Context window | 33K | 256K | B +223K |
| Max output | 8K | 64K | B +56K |
| Parameters | — | 128B | — |
| Pricing | |||
| Input $/1M | $4 | $1.50 | B +$2.50 |
| Output $/1M | $12 | $7.50 | B +$4.50 |
| Blended $/1M (3∶1) | $6 | $3 | B +$3 |
| Speed | |||
| tok/s | 55 | 80 | B +25 |
| TTFT (s) | 0.55 | 0.4 | B +0.15 |
| Reasoning | |||
| MMLU-Pro | 51.5 | — | — |
| GPQA Diamond | 35.1 | 74.8 | B +39.7 pts |
| Humanity's Last Exam | 3.5 | 13.8 | B +10.3 pts |
| AIME 2025 | — | — | — |
| MATH-500 | 52.7 | — | — |
| 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 | 17.8 | — | — |
| Terminal-Bench 2.1 | — | 50.6 | — |
| Aider Polyglot | — | — | — |
| Terminal-Bench 3 | — | — | — |
| BigCodeBench | 30.0 | — | — |
| SciCode | 20.8 | 40.2 | B +19.4 pts |
| CursorBench | — | — | — |
| SWE-Rebench | — | — | — |
| NL2Repo-Bench | — | — | — |
| DeepSWE | — | — | — |
| WebDev Arena | — | 1,265 | — |
| Terminal-Bench 4.0 | — | — | — |
| CursorBench 4.0 | — | — | — |
| FrontierCode v1.1 (Main) | — | — | — |
| Arena | |||
| LMArena Elo | 1,242 | 1,426 | B +184 Elo |
Mistral Large
- Context
- 33K / 8K out
- Parameters
- —
- Price
- $4 / $12
- Speed
- 55 tok/s · 0.55s TTFT
- Modalities
- text → text
- License
- Proprietary
First Mistral Large API SKU (mistral-large-2402) — 32K closed flagship before Large 2 / 3.
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.