Muse Spark 1.3
meta/muse-spark-1.3
multimodal reasoning for long-horizon agentic and coding workflows.
cmd --model meta/muse-spark-1.3
Intelligence index
48.1
Coding index
75.8
Input
$1.25 /M
Output
$4.25 /M
Cache read
$0.15 /M
Agent-loop cost
$0.48 /M in
Context window
1.05M tokens
Released
September 2, 2026
Modalities
→
vs. the lineup
Muse Spark 1.3 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◆ |
| Muse Spark 1.2 | 39.6◆ | 72.2◆ | $1.25◆ | $4.25◆ | $2◆ | 1.05M◆ |
| Muse Spark 1.1 | 33.7◆ | 71.3◆ | $1.25◆ | $4.25◆ | $2◆ | 1.05M◆ |
| Muse Spark 1.2 Contributor | —◆ | —◆ | $0.10◆ | $0.20◆ | $0.13◆ | 1.05M◆ |
| Muse Spark 1.3 Contributor | —◆ | —◆ | $0.10◆ | $0.20◆ | $0.13◆ | 1.05M◆ |
| Muse Wonder | —◆ | —◆ | $4◆ | $20◆ | $8◆ | 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 Muse Spark 1.3 has been left empty.
Coding Index
75.8
#12 of 52 scored
Terminal-Bench
84.3
#15 of 52 scored
Intelligence Index
48.1
#8 of 68 scored
Long-context reasoning
83
reasoning across a long context
SciCode
58.8
scientific coding
GPQA Diamond
93.5
graduate-level QA
usage calculator
How far a month of credits goes on Muse Spark 1.3.
Muse Spark 1.3 runs on GOAT and up — from $10/mo.
Input tokensfresh prompt
800Output tokensmodel reply
180Cache read tokensre-read context
50Kcost / request $0.0093 · in $1.25 · out $4.25 · cache $0.15 per M
fresh input 11%output 8%cache reads 81%
Requests / 30 days
2.2K
$20 credits ÷ $0.0093 per request
~432 quick fixes~86 bug fixes~14 feature PRs
what real work costs
Real coding tasks priced end to end on Muse Spark 1.3, 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
$0.66 /M
all-in across every token that task touched
Sticker input
$1.25 /M
cache reads bill at $0.15 /M instead
| Task | Tokens in · out | Muse Spark 1.3 | MiMo V2.6 Pro | Claude Haiku 4.5 |
|---|---|---|---|---|
| Quick lookup / one-liner | 8K · 1K | $0.0063 | $0.0012 | $0.0065 |
| Review a 500-line PR | 60K · 4K | $0.05 | $0.01 | $0.04 |
| Fix a bug (agent loop) | 180K · 12K | $0.13 | $0.03 | $0.12 |
| Refactor a module | 320K · 20K | $0.23 | $0.06 | $0.21 |
| Full-repo agent run | 900K · 45K | $0.54 | $0.13 | $0.49 |
frequently asked
How much does Muse Spark 1.3 cost?
$1.25/M input and $4.25/M output, cache reads $0.15/M. In an agent loop most input is cache-read, so the effective input rate is about $0.48/M.Which plan do I need?
Available on GOAT and above.
How do I switch to it?
Run
cmd --model meta/muse-spark-1.3, 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/muse-spark-1-3