Quality
Highest overall scores
- 1
Meta: Muse Spark 1.153.2 - 2Meta: Llama 3.3 70B Instruct0
- 3Meta: Muse Glimmer 30B0
Meta model benchmarks.
Compare Meta models across answer quality, coding, complex tasks, speed, price, and context size.
Response speed
Fastest output in this sample
- 1Meta: Llama 3.3 70B Instruct177 t/s
- 2Meta: Muse Spark 1.1138 t/s
- 3Meta: Muse Glimmer 30B88 t/s
Input price
Lowest price per 1M tokens
- 1Meta: Llama 3.3 70B Instruct$0.10/1M
- 2Meta: Muse Glimmer 30B$0.35/1M
- 3Meta: Muse Spark 1.1$1.25/1M
Highlights
Quality
Overall capability · Higher is better
Speed
Output tokens per second · Higher is better
Input price
USD per 1M tokens · Lower is better
Quality benchmarks
Compare Meta model capability.
Performance and price
Compare practical tradeoffs.
All Meta models.
3 models in the current catalogue.
| Model | Links | |||||
|---|---|---|---|---|---|---|
| Meta: Muse Spark 1.1 | 53.2 | 138 t/s | 1M | $1.25 | $4.25 | |
| Meta: Llama 3.3 70B Instruct | 0 | 177 t/s | 131.1K | $0.10 | $0.32 | |
| Meta: Muse Glimmer 30B | 0 | 88 t/s | 131.1K | $0.35 | $1.50 |
Meta technical benchmarks.
Compare named evaluation records available for Meta models. Missing results remain blank rather than being estimated.
| Benchmark | Area | Muse Spark 1.1 | Llama 3.3 70B Instruct | Muse Glimmer 30B | Source |
|---|---|---|---|---|---|
| Intelligence Index | overallQuality | 53.2 | — | — | OpenRouter / artificial-analysis |
| Coding Index | coding | 71.3 | 11.9 | — | OpenRouter / artificial-analysis |
| Agentic Index | agentic | 39.7 | — | — | OpenRouter / artificial-analysis |
| GPQA | GPQA Diamond | 89.8 | 49.8 | — | OpenRouter model benchmarks |
| Humanity's Last Exam | HLE | 46.2 | 3.6 | — | OpenRouter model benchmarks |
| AA-LCR | AA-LCR | 81.3 | 15.7 | — | OpenRouter model benchmarks |
| GDPval-AA | GDPval-AA | 43.7 | 0 | — | OpenRouter model benchmarks |
| CritPt | CritPt | 15.1 | 0 | — | OpenRouter model benchmarks |
| SciCode | SciCode | 58.2 | 26 | — | OpenRouter model benchmarks |
| AA-Omniscience Accuracy | AA-Omniscience Accuracy | 52 | 19 | — | OpenRouter model benchmarks |
| AA-Omniscience Non-Hallucination Rate | AA-Omniscience Non-Hallucination Rate | 50 | 9.8 | — | OpenRouter model benchmarks |
| IFBench | IFBench | — | 47.1 | — | OpenRouter model benchmarks |
| τ²-Bench Telecom | τ²-Bench Telecom | — | 26.6 | — | OpenRouter model benchmarks |
| Terminal-Bench Hard | Terminal-Bench Hard | — | 3 | — | OpenRouter model benchmarks |