- Score
- 9.4 (+0.38 points)
- Total Cost (Current Price)
- $0.183 · 89.4% cheaper
- Response Time (avg)
- 6.24s · 84.3% faster
Meta
Release: 2026-09-02
Tested on: 2026-10-01 03:07
meta/muse-spark-1.3::medium
~1T total (~50B active)MoEClosedEstimated
Summary
Muse Spark 1.3 scores 9.0 on AI BENCHY and ranks #47. It has 10.0 reliability, a 85.5% pass rate, $1.712 total cost, and 39.83s average response time.
Recommended alternatives
We recommend choosing one of these models instead:
- Score
- 9.1 (+0.14 points)
- Total Cost (Current Price)
- $0.140 · 91.9% cheaper
- Response Time (avg)
- 16.58s · 58.4% faster
- Score
- 9.6 (+0.57 points)
- Total Cost (Current Price)
- $0.460 · 73.2% cheaper
- Response Time (avg)
- 7.15s · 82.0% faster
Model facts
Researched on 2026-09-02
- Parameters
- ~1T total (~50B active)
- Architecture
- MoE
- Availability
- Closed
- License
- -
Best estimate from public evidence; the vendor did not disclose every value. API-only exact checkpoint. Meta does not disclose parameter counts or architecture; estimates follow the Muse Spark 1.2 family record.
9.0
Consistency
8.9
10.0
$1.712
Total Output Tokens
328,911
Total Input Tokens
250,676
Input Price
$1.250 / 1M
Output Price
$4.250 / 1M
Cache Read Price
$0.150 / 1M
Cache Write Price
N/A
Cache prices apply to input tokens. Reads reuse cached prompts; writes store them and can cost extra. Output tokens use the output price.
Flaky tests
3
Flaky tests had mixed outcomes across runs (at least one pass and one fail).
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#47 Muse Spark 1.3
medium- Cost
- $0.025
- Time
- 113.4s
- Tokens
- 5,952 tok
Run history
| Tested on | Score | Reliability | Tests Correct | Total Cost | Compare |
|---|---|---|---|---|---|
| 2026-10-01 03:07 Re-test | 9.0 | 10.0 | $1.712 | Current run | |
| 2026-09-02 21:54 Initial run | 9.0 | 9.3 | $1.075 | Compare |
Run comparison
| Run | Benchmark coverage | Score | Consistency | Reliability | Tests Correct | Flaky tests | Total Output Tokens | Total Input Tokens | Total Cost | Response Time (avg) |
|---|---|---|---|---|---|---|---|---|---|---|
| 2026-10-01 03:07 · Current run | 69/69 attempts | 9.0 | 8.9 | 10.0 | 18/23 | 3 | 328,911 | 250,676 | $1.712 | 39.83s |
| 2026-09-02 21:54 · Initial run | 66/66 attempts | 9.0 | 8.5 | 9.3 | 16/22 | 4 | 223,994 | 98,062 | $1.075 | 89.78s |
| Difference | — | 0.0 | +0.4 | +0.7 | +2 | -1 | +104917 | +152614 | +$0.637 | -49946ms |
Benchmark coverage differs: 69/69 attempts (Target: 3 repeats per test) versus 66/66 attempts (Target: 3 repeats per test). Totals and repeat-sensitive metrics are not directly comparable.
Price History
Historical pricing data for this model from OpenRouter.
| Date | Input Price | Output Price | Cache Read Price | Cache Write Price |
|---|---|---|---|---|
| 2026-10-01 18:33 | $1.250 / 1M | $4.250 / 1M | $0.150 / 1M | N/A |
Charts
Choose the first model, then click a second model to open a side-by-side page.
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Category Breakdown
| Category | Score | Consistency | Tests Correct |
|---|---|---|---|
| Agentic | 10.0 | 10.0 | |
| Anti-AI Tricks | 10.0 | 10.0 | |
| Coding | 10.0 | 10.0 | |
| Combined | 7.3 | 5.8 | |
| Data parsing and extraction | 10.0 | 10.0 | |
| Domain specific | 3.5 | 4.4 | |
| General Intelligence | 10.0 | 10.0 | |
| Instructions following | 9.8 | 10.0 | |
| Puzzle Solving | 10.0 | 10.0 | |
| Tool Calling | 9.6 | 10.0 | |
| Trivia | 3.0 | 10.0 |