Muse Spark 1.2
meta/muse-spark-1.2
coding-optimized for agentic workflows and large codebases.
cmd --model meta/muse-spark-1.2
Intelligence index
54.1
Output speed
not yet scored
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
August 5, 2026
Modalities
→
vs. the lineup
Muse Spark 1.2 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 |
|---|---|---|---|---|---|---|---|
| GPT-5.6 Terra | 55◆ | 76.7◆ | 144.3◆ | $1◆ | $6◆ | $2.25◆ | 1.05M◆ |
| GPT-5.5 | 54.8◆ | 74.9◆ | —◆ | $5◆ | $30◆ | $11.25◆ | 200K◆ |
| Muse Spark 1.2 ◆ | 54.1◆ | 72.2◆ | —◆ | $1.25◆ | $4.25◆ | $2◆ | 1.05M◆ |
| Muse Spark 1.2 Contributor | 54.1◆ | 72.2◆ | —◆ | $0.10◆ | $0.20◆ | $0.13◆ | 1.05M◆ |
| Muse Spark 1.1 | 50.6◆ | 71.3◆ | 166.2◆ | $1.25◆ | $4.25◆ | $2◆ | 1.05M◆ |
| Step 3.7 Flash | 30.3◆ | 39.6◆ | 392.5◆ | $0.20◆ | $1.15◆ | $0.44◆ | 256K◆ |
| DeepSeek V4 Propinned | 44.3◆ | 59.4◆ | 59.6◆ | $0.43◆ | $0.87◆ | $0.54◆ | 1M◆ |
| DeepSeek V4 Flash (latest)pinned | 50◆ | 69.1◆ | 102.2◆ | $0.14◆ | $0.28◆ | $0.18◆ | 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 1.2 has been left empty.
Coding Index
72.2
#10 of 40 scored
Terminal-Bench
80.1
#12 of 40 scored
Intelligence Index
54.1
#8 of 46 scored
Long-context reasoning
64.7
reasoning across a long context
SciCode
56.4
scientific coding
GPQA Diamond
90.4
graduate-level QA
usage calculator
How far a month of credits goes on Muse Spark 1.2.
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
1.1K
$10 credits ÷ $0.0093 per request
~216 quick fixes~43 bug fixes~7 feature PRs
what real work costs
Real coding tasks priced end to end on Muse Spark 1.2, 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 1.2 | Muse Spark 1.2 Contributor | Claude Haiku 4.5 |
|---|---|---|---|---|
| Quick lookup / one-liner | 8K · 1K | $0.0063 | $0.0003 | $0.0065 |
| Review a 500-line PR | 60K · 4K | $0.05 | $0.0027 | $0.04 |
| Fix a bug (agent loop) | 180K · 12K | $0.13 | $0.0072 | $0.12 |
| Refactor a module | 320K · 20K | $0.23 | $0.01 | $0.21 |
| Full-repo agent run | 900K · 45K | $0.54 | $0.03 | $0.49 |
frequently asked
What is Muse Spark 1.2 best for?+
Muse Spark 1.2 is a reasoning model from Meta, designed for complex agentic tasks. It accepts text, images, video, audio, and PDF documents, returns text, and offers a 1M-token context window. The model is built to support multi-agent workflows, whether as either a main agent that plans and delegates or as a subagent executing in parallel. It works across multiple coding harnesses and supports structured output, parallel function calling, and configurable reasoning effort. In Meta’s testing, it performs well on multi-file refactors, extended debugging sessions, whole-repository generation, and tasks that stretch well past a single prompt.
How much does Muse Spark 1.2 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-1.2, 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 (v4.1)commandcode.ai/models/muse-spark-1-2