vs
0:6
overall capability wins (0 ties across 6 scored). Muse Spark 1.3 leads overall.
- Reasoning0:4
- Coding0:1
- Pricing3:0
- Specs0:1
Verdict
Muse Spark 1.3 leads coding (widest gap: +35.5 on SciCode); Muse Spark 1.3 offers ~8.2x larger context (1.0M vs 128K); Llama-3.1-Nemotron-70B Instruct ships open weights (NVIDIA Open Model).
- Muse Spark 1.3 leads coding (widest gap: +35.5 on SciCode)
- Muse Spark 1.3 offers ~8.2x larger context (1.0M vs 128K)
- Llama-3.1-Nemotron-70B Instruct ships open weights (NVIDIA Open Model)
- Llama-3.1-Nemotron-70B Instruct is ~5.5x 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-3.1-Nemotron-70B Instruct
- $0.45
- Muse Spark 1.3
- $2.31
Llama-3.1-Nemotron-70B Instruct is about 5.1x cheaper on this workload.
Price per 1M tokens
Full comparison
Organization
NVIDIA
Meta
Family
Llama / Muse
Llama / Muse
License
NVIDIA Open Model
Proprietary
Open weights
Yes
No
Release
Oct 15, 2024
Sep 2, 2026
Knowledge cutoff
-
-
API / provider
NVIDIA NIM
Meta
Modalities
text → text
text, image, video, pdf → text
Specs
Context window
128K
1.0M
Max output
4K
-
Parameters
70B
—
Pricing
Input $/1M
$0.35
$1.25
Output $/1M
$0.40
$4.25
Blended $/1M (3∶1)
$0.36
$2
Speed
tok/s
60
-
TTFT (s)
0.45
-
Reasoning
MMLU-Pro
69.0
—
GPQA Diamond
46.5
93.5
Humanity's Last Exam
4.2
48.7
AIME 2025
11.0
—
MATH-500
73.3
—
Humanity's Last Exam (with tools)
—
—
AA-Omniscience Accuracy
17.8
43.6
AA-LCR v1.1
8.3
83.0
CritPt
—
24.9
MMMU-Pro
—
—
IFBench
30.7
—
Chartography
—
—
Chartography (With Tools)
—
—
Coding
SWE-bench Verified
—
—
SWE-bench Pro
—
—
SWE-bench Multilingual
—
—
LiveCodeBench
16.9
—
Terminal-Bench 2.1
—
85.8
Aider Polyglot
—
—
Terminal-Bench 3
—
—
BigCodeBench
38.7
—
SciCode
23.3
58.8
CursorBench
—
—
SWE-Rebench
—
—
NL2Repo-Bench
—
—
DeepSWE
—
—
WebDev Arena
—
—
Terminal-Bench 4.0
—
—
CursorBench 4.0
—
—
FrontierCode v1.1 (Main)
—
—
Arena
LMArena Elo
1,299
—
| Metric | Llama-3.1-Nemotron-70B Instruct | Muse Spark 1.3 | Delta |
|---|---|---|---|
| Identity | |||
| Organization | NVIDIA | Meta | — |
| Family | Llama / Muse | Llama / Muse | — |
| License | NVIDIA Open Model | Proprietary | — |
| Open weights | Yes | No | — |
| Release | Oct 15, 2024 | Sep 2, 2026 | — |
| Knowledge cutoff | - | - | — |
| API / provider | NVIDIA NIM | Meta | — |
| Modalities | text → text | text, image, video, pdf → text | — |
| Specs | |||
| Context window | 128K | 1.0M | B +921K |
| Max output | 4K | - | — |
| Parameters | 70B | — | — |
| Pricing | |||
| Input $/1M | $0.35 | $1.25 | A +$0.90 |
| Output $/1M | $0.40 | $4.25 | A +$3.85 |
| Blended $/1M (3∶1) | $0.36 | $2 | A +$1.64 |
| Speed | |||
| tok/s | 60 | - | — |
| TTFT (s) | 0.45 | - | — |
| Reasoning | |||
| MMLU-Pro | 69.0 | — | — |
| GPQA Diamond | 46.5 | 93.5 | B +47.0 pts |
| Humanity's Last Exam | 4.2 | 48.7 | B +44.5 pts |
| AIME 2025 | 11.0 | — | — |
| MATH-500 | 73.3 | — | — |
| Humanity's Last Exam (with tools) | — | — | — |
| AA-Omniscience Accuracy | 17.8 | 43.6 | B +25.8 pts |
| AA-LCR v1.1 | 8.3 | 83.0 | B +74.7 pts |
| CritPt | — | 24.9 | — |
| MMMU-Pro | — | — | — |
| IFBench | 30.7 | — | — |
| Chartography | — | — | — |
| Chartography (With Tools) | — | — | — |
| Coding | |||
| SWE-bench Verified | — | — | — |
| SWE-bench Pro | — | — | — |
| SWE-bench Multilingual | — | — | — |
| LiveCodeBench | 16.9 | — | — |
| Terminal-Bench 2.1 | — | 85.8 | — |
| Aider Polyglot | — | — | — |
| Terminal-Bench 3 | — | — | — |
| BigCodeBench | 38.7 | — | — |
| SciCode | 23.3 | 58.8 | B +35.5 pts |
| CursorBench | — | — | — |
| SWE-Rebench | — | — | — |
| NL2Repo-Bench | — | — | — |
| DeepSWE | — | — | — |
| WebDev Arena | — | — | — |
| Terminal-Bench 4.0 | — | — | — |
| CursorBench 4.0 | — | — | — |
| FrontierCode v1.1 (Main) | — | — | — |
| Arena | |||
| LMArena Elo | 1,299 | — | — |
Llama-3.1-Nemotron-70B Instruct
- Context
- 128K / 4K out
- Parameters
- 70B
- Price
- $0.35 / $0.40
- Speed
- 60 tok/s · 0.45s TTFT
- Modalities
- text → text
- License
- NVIDIA Open Model
NVIDIA's RLHF-tuned Llama 3.1 70B — preference-aligned open instruct model widely served on NIM.
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.