vs
0:4
overall capability wins (0 ties across 4 scored). Muse Spark 1.3 leads overall.
- Reasoning0:3
- Pricing3:0
- Specs0:1
Verdict
Muse Spark 1.3 edges reasoning & knowledge; Muse Spark 1.3 offers ~8.2x larger context (1.0M vs 128K); Llama 3.2 3B ships open weights (Llama 3.2).
- Muse Spark 1.3 edges reasoning & knowledge
- Muse Spark 1.3 offers ~8.2x larger context (1.0M vs 128K)
- Llama 3.2 3B ships open weights (Llama 3.2)
- Llama 3.2 3B is ~57.1x cheaper on a blended token basis than Muse Spark 1.3
Cost for 1M in + 250K out
Illustrative chat workload at primary-provider list prices.
- Llama 3.2 3B
- $0.04
- Muse Spark 1.3
- $2.31
Llama 3.2 3B is about 54.4x cheaper on this workload.
Price per 1M tokens
Full comparison
Organization
Meta
Meta
Family
Llama / Muse
Llama / Muse
License
Llama 3.2
Proprietary
Open weights
Yes
No
Release
Sep 25, 2024
Sep 2, 2026
Knowledge cutoff
-
-
API / provider
Together / Fireworks (ref.)
Meta
Modalities
text → text
text, image, video, pdf → text
Specs
Context window
128K
1.0M
Max output
8K
-
Parameters
3B
—
Pricing
Input $/1M
$0.03
$1.25
Output $/1M
$0.05
$4.25
Blended $/1M (3∶1)
$0.04
$2
Speed
tok/s
220
-
TTFT (s)
0.1
-
Reasoning
MMLU-Pro
—
—
GPQA Diamond
25.5
93.5
Humanity's Last Exam
5.4
48.7
AIME 2025
—
—
MATH-500
—
—
Humanity's Last Exam (with tools)
—
—
AA-Omniscience Accuracy
—
43.6
AA-LCR v1.1
4.3
83.0
CritPt
—
24.9
MMMU-Pro
—
—
IFBench
26.2
—
Chartography
—
—
Chartography (With Tools)
—
—
Coding
SWE-bench Verified
—
—
SWE-bench Pro
—
—
SWE-bench Multilingual
—
—
LiveCodeBench
—
—
Terminal-Bench 2.1
—
85.8
Aider Polyglot
—
—
Terminal-Bench 3
—
—
BigCodeBench
23.4
—
SciCode
—
58.8
CursorBench
—
—
SWE-Rebench
—
—
NL2Repo-Bench
—
—
DeepSWE
—
—
WebDev Arena
—
—
Terminal-Bench 4.0
—
—
CursorBench 4.0
—
—
FrontierCode v1.1 (Main)
—
—
Arena
LMArena Elo
1,167
—
| Metric | Llama 3.2 3B | Muse Spark 1.3 | Delta |
|---|---|---|---|
| Identity | |||
| Organization | Meta | Meta | — |
| Family | Llama / Muse | Llama / Muse | — |
| License | Llama 3.2 | Proprietary | — |
| Open weights | Yes | No | — |
| Release | Sep 25, 2024 | Sep 2, 2026 | — |
| Knowledge cutoff | - | - | — |
| API / provider | Together / Fireworks (ref.) | Meta | — |
| Modalities | text → text | text, image, video, pdf → text | — |
| Specs | |||
| Context window | 128K | 1.0M | B +921K |
| Max output | 8K | - | — |
| Parameters | 3B | — | — |
| Pricing | |||
| Input $/1M | $0.03 | $1.25 | A +$1.22 |
| Output $/1M | $0.05 | $4.25 | A +$4.20 |
| Blended $/1M (3∶1) | $0.04 | $2 | A +$1.97 |
| Speed | |||
| tok/s | 220 | - | — |
| TTFT (s) | 0.1 | - | — |
| Reasoning | |||
| MMLU-Pro | — | — | — |
| GPQA Diamond | 25.5 | 93.5 | B +68.0 pts |
| Humanity's Last Exam | 5.4 | 48.7 | B +43.3 pts |
| AIME 2025 | — | — | — |
| MATH-500 | — | — | — |
| Humanity's Last Exam (with tools) | — | — | — |
| AA-Omniscience Accuracy | — | 43.6 | — |
| AA-LCR v1.1 | 4.3 | 83.0 | B +78.7 pts |
| CritPt | — | 24.9 | — |
| MMMU-Pro | — | — | — |
| IFBench | 26.2 | — | — |
| Chartography | — | — | — |
| Chartography (With Tools) | — | — | — |
| Coding | |||
| SWE-bench Verified | — | — | — |
| SWE-bench Pro | — | — | — |
| SWE-bench Multilingual | — | — | — |
| LiveCodeBench | — | — | — |
| Terminal-Bench 2.1 | — | 85.8 | — |
| Aider Polyglot | — | — | — |
| Terminal-Bench 3 | — | — | — |
| BigCodeBench | 23.4 | — | — |
| SciCode | — | 58.8 | — |
| CursorBench | — | — | — |
| SWE-Rebench | — | — | — |
| NL2Repo-Bench | — | — | — |
| DeepSWE | — | — | — |
| WebDev Arena | — | — | — |
| Terminal-Bench 4.0 | — | — | — |
| CursorBench 4.0 | — | — | — |
| FrontierCode v1.1 (Main) | — | — | — |
| Arena | |||
| LMArena Elo | 1,167 | — | — |
Llama 3.2 3B
- Context
- 128K / 8K out
- Parameters
- 3B
- Price
- $0.03 / $0.05
- Speed
- 220 tok/s · 0.1s TTFT
- Modalities
- text → text
- License
- Llama 3.2
Edge-oriented Llama 3.2 text model with 128K context for on-device assistants.
Muse Spark 1.3
- Context
- 1.0M
- Parameters
- —
- Price
- $1.25 / $4.25
- Speed
- —
- Modalities
- text, image, video, pdf → text
- License
- Proprietary
Meta's Sept 2026 coding/agentic upgrade to Muse Spark — ~20% fewer tool calls and ~25% fewer tokens than 1.2 in internal comparisons, with longer-horizon multi-workflow persistence and more proactive clarifying questions. Same 1M context and $1.25/$4.25 Meta Model API pricing as 1.2 (contributor tier $0.10/$0.20). Open weights planned but not yet released; max reasoning mode pending further safety testing.
Benchmark charts
Winner bars are emphasized. Per-benchmark deltas sit above each chart.