Mistral Large 4
mistral/mistral-large-4
frontier open-weight multimodal model for coding & analysis.
cmd --model mistral/mistral-large-4
Intelligence index
38.4
Coding index
not yet scored
Input
$1.36 /M
Output
$4.18 /M
Cache read
$0.14 /M
Agent-loop cost
$0.51 /M in
Context window
524K tokens
Released
October 6, 2026
Modalities
→
vs. the lineup
Mistral Large 4 beside its stablemates and nearest rivals. The ◆ marks the best value in each column across every row shown.
pin a rival:
| Model | Intelligence | Coding | Input $/M | Output $/M | Blended $/M | Context |
|---|---|---|---|---|---|---|
| Muse Spark 1.3 | 48.1◆ | 75.8◆ | $1.25◆ | $4.25◆ | $2◆ | 1.05M◆ |
| Grok 4.5 | 38.8◆ | 72.4◆ | $2◆ | $6◆ | $3◆ | 500K◆ |
| Mistral Large 4 ◆ | 38.4◆ | —◆ | $1.36◆ | $4.18◆ | $2.06◆ | 524K◆ |
| GPT-5.5 | 38.4◆ | 74.9◆ | $5◆ | $30◆ | $11.25◆ | 400K◆ |
| Claude Sonnet 5 | 38.2◆ | 71.5◆ | $2◆ | $10◆ | $4◆ | 1M◆ |
| GPT-6 Luna | 38.1◆ | —◆ | $0.10◆ | $0.50◆ | $0.20◆ | 1.05M◆ |
| DeepSeek V4 Pro (latest)pinned | 36◆ | 68.8◆ | $0.66◆ | $1.98◆ | $0.99◆ | 1M◆ |
| DeepSeek V4 Flash (latest)pinned | 34◆ | 69.1◆ | $0.15◆ | $0.60◆ | $0.26◆ | 1M◆ |
coding performance
The Intelligence Index and its sub-scores, ranked against every scored model in the catalog. A metric that has not been measured for Mistral Large 4 has been left empty.
Intelligence Index
38.4
#36 of 74 scored
Long-context reasoning
81.3
reasoning across a long context
SciCode
54.2
scientific coding
usage calculator
How far a month of credits goes on Mistral Large 4.
Input tokensfresh prompt
800Output tokensmodel reply
180Cache read tokensre-read context
50Kcost / request $0.0088 · in $1.36 · out $4.18 · cache $0.14 per M
fresh input 12%output 9%cache reads 79%
Requests / 30 days
679
$6 credits ÷ $0.0088 per request
~136 quick fixes~27 bug fixes~5 feature PRs
what real work costs
Real coding tasks priced end to end on Mistral Large 4, from a quick lookup to a full-repo agent run.
One agent task
$0.13
180K in at 75% cache hit, 12K out
What you pay
$0.68 /M
all-in across every token that task touched
Sticker input
$1.36 /M
cache reads bill at $0.14 /M instead
| Task | Tokens in · out | Mistral Large 4 | Muse Spark 1.3 | Claude Haiku 4.5 |
|---|---|---|---|---|
| Quick lookup / one-liner | 8K · 1K | $0.0063 | $0.0063 | $0.0065 |
| Review a 500-line PR | 60K · 4K | $0.05 | $0.05 | $0.04 |
| Fix a bug (agent loop) | 180K · 12K | $0.13 | $0.13 | $0.12 |
| Refactor a module | 320K · 20K | $0.24 | $0.23 | $0.21 |
| Full-repo agent run | 900K · 45K | $0.56 | $0.54 | $0.49 |
frequently asked
How much does Mistral Large 4 cost?
$1.36/M input and $4.18/M output, cache reads $0.14/M. In an agent loop most input is cache-read, so the effective input rate is about $0.51/M.Which plan do I need?
Available on Go and above.
How do I switch to it?
Run
cmd --model mistral/mistral-large-4, or type /model in a session and pick it. You can switch mid-session without losing context.Ship code that matches your taste
Command Code is the AI coding agent that continuously learns your taste. Start for $1.
Benchmarks from Artificial Analysis (v4.3)commandcode.ai/models/mistral-large-4