LongCat 2.0
meituan/longcat-2.0
trillion-parameter agentic coding with 1M context.
cmd --model meituan/longcat-2.0
Intelligence index
19.7
Output speed
not yet scored
Input
$0.30 /M
Output
$1.20 /M
Cache read
$0.006 /M
Agent-loop cost
$0.09 /M in
Context window
1.05M tokens
Released
June 29, 2026
Modalities
→
vs. the lineup
LongCat 2.0 beside its stablemates and nearest rivals. The ◆ marks the best value in each column across every row shown.
pin a rival:
| Model | Intelligence | Coding | Speed | Input $/M | Output $/M | Blended $/M | Context |
|---|---|---|---|---|---|---|---|
| Muse Spark 1.3 Contributor | 48.2◆ | 75.8◆ | 418.4◆ | $0.10◆ | $0.20◆ | $0.13◆ | 1.05M◆ |
| Muse Spark 1.3 | 48.2◆ | 75.8◆ | 418.4◆ | $1.25◆ | $4.25◆ | $2◆ | 1.05M◆ |
| Gemini 3.5 Flash Lite | 22.7◆ | 49.3◆ | 345◆ | $0.30◆ | $2.50◆ | $0.85◆ | 1M◆ |
| MiMo V2.5 | 22.3◆ | 56.8◆ | 46.2◆ | $0.14◆ | $0.28◆ | $0.18◆ | 1M◆ |
| LongCat 2.0 ◆ | 19.7◆ | 45.3◆ | —◆ | $0.30◆ | $1.20◆ | $0.52◆ | 1.05M◆ |
| Step 3.7 Flash | 19.5◆ | 39.6◆ | 125.7◆ | $0.20◆ | $1.15◆ | $0.44◆ | 256K◆ |
| DeepSeek V4 Pro (latest)pinned | 36.3◆ | 68.8◆ | 65.3◆ | $0.66◆ | $1.98◆ | $0.99◆ | 1M◆ |
| DeepSeek V4 Flash (latest)pinned | 35◆ | 69.1◆ | 236.4◆ | $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 LongCat 2.0 has been left empty.
Coding Index
45.3
#51 of 53 scored
Terminal-Bench
50.2
#50 of 53 scored
Intelligence Index
19.7
#56 of 60 scored
Long-context reasoning
65
reasoning across a long context
SciCode
36.3
scientific coding
GPQA Diamond
78
graduate-level QA
usage calculator
How far a month of credits goes on LongCat 2.0.
Input tokensfresh prompt
800Output tokensmodel reply
180Cache read tokensre-read context
50Kcost / request $0.0008 · in $0.30 · out $1.20 · cache $0.006 per M
fresh input 32%output 29%cache reads 40%
Requests / 30 days
13K
$10 credits ÷ $0.0008 per request
~2.6K quick fixes~529 bug fixes~88 feature PRs
what real work costs
Real coding tasks priced end to end on LongCat 2.0, from a quick lookup to a full-repo agent run.
One agent task
$0.03
180K in at 75% cache hit, 12K out
What you pay
$0.15 /M
all-in across every token that task touched
Sticker input
$0.30 /M
cache reads bill at $0.006 /M instead
| Task | Tokens in · out | LongCat 2.0 | Muse Spark 1.3 Contributor | Claude Haiku 4.5 |
|---|---|---|---|---|
| Quick lookup / one-liner | 8K · 1K | $0.0015 | $0.0003 | $0.0065 |
| Review a 500-line PR | 60K · 4K | $0.01 | $0.0027 | $0.04 |
| Fix a bug (agent loop) | 180K · 12K | $0.03 | $0.0072 | $0.12 |
| Refactor a module | 320K · 20K | $0.05 | $0.01 | $0.21 |
| Full-repo agent run | 900K · 45K | $0.12 | $0.03 | $0.49 |
frequently asked
How much does LongCat 2.0 cost?
$0.30/M input and $1.20/M output, cache reads $0.006/M. In an agent loop most input is cache-read, so the effective input rate is about $0.09/M.Which plan do I need?
Available on Go and above.
How do I switch to it?
Run
cmd --model meituan/longcat-2.0, 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/longcat-2-0