Muse Spark 1.3vsQwen3.7-Plus
Both language models, compared at each maker’s own API list prices. Every figure links to its source.
Compare at your usage
Every model priced for the same request8,000 tokens in, 2,000 out
| Muse Spark 1.3 on Meta AI API | Qwen3.7-Plus on Alibaba Cloud Model Studio | |
|---|---|---|
| Rate applied | Base rate | Base rate |
| Inputper 1M tokens | $1.25 | $0.276 |
| Cache readper 1M tokens | $0.15 | $0.056 |
| Outputper 1M tokens | $4.25 | $1.101 |
| Cost per request | $0.0185 | $0.00441 |
| Per 1,000 requests | $18.50 | $4.41 |
- Muse Spark 1.3 Meta Model API pricing and rate limits · as of Nov 1, 2026
- Qwen3.7-Plus Alibaba Cloud Model Studio pricing · as of Nov 2, 2026 · Qwen3.7 Plus model · as of Nov 2, 2026
Every model is priced for the same request at its maker’s own list prices (each with its source and date), so bold marks the cheapest. A model that can’t serve the request is named, not ranked; a condition its seller doesn’t price says which rate was used.
Cost per request as prompts grow
2K tokens out, list price on each maker’s API. Qwen3.7-Plus charges $0.826 / $3.301 above 256K tokens.
- Muse Spark 1.3 · Meta AI API
- Qwen3.7-Plus · Alibaba Cloud Model Studio
Where each stands among all scored models
Each line runs from the lowest to the highest score on the board; the tick is the median.
- Muse Spark 1.3
- Qwen3.7-Plus
Key differences
InputMaker’s official API · global · USD
$1.25 / 1M tokens Meta Model API pricing and rate limits · as of Nov 1, 2026
$0.276 / 1M tokens Alibaba Cloud Model Studio pricing · as of Nov 2, 2026
OutputMaker’s official API · global · USD
$4.25 / 1M tokens Meta Model API pricing and rate limits · as of Nov 1, 2026
$1.101 / 1M tokens Alibaba Cloud Model Studio pricing · as of Nov 2, 2026
Context
1,048,576 Meta Model API models · as of Nov 1, 2026
1,000,000 Qwen3.7 Plus model · as of Nov 2, 2026
Input modalities
Text, Image, Video, PDF, Audio Meta Model API models · as of Nov 1, 2026
Text, Image, Video Qwen3.7 Plus model · as of Nov 2, 2026
Cache readMaker’s official API · global · USD
$0.15 / 1M tokens Meta Model API pricing and rate limits · as of Nov 1, 2026
$0.056 / 1M tokens Qwen3.7 Plus model · as of Nov 2, 2026
These differences use verified vendor specifications or each maker’s official API on the same region, currency, meter and billing conditions. Different conditions remain side by side in the full table; they do not establish which model is cheaper. Declared features describe support, not measured quality or a recommendation. Missing evidence does not mean a feature is unsupported.
Full comparison
| Muse Spark 1.3 Meta | Qwen3.7-Plus Alibaba Qwen | |
|---|---|---|
| Overview | ||
| Released | Sep 2, 2026 | Jun 1, 2026 |
| Open weights | — | — |
| Knowledge cutoff | Not stated | Apr 2025 |
| Specs | ||
| Context | 1.05M | 1M |
| Max output | 131.07K | 131.07K |
| Input modalities | Text, Image, Video, PDF, Audio | Text, Image, Video |
| Output modalities | Text | Text |
| Reasoning | ||
| Reasoning efforts | minimal, low, medium, high, xhigh, max | Not stated |
| Reasoning can be off | Not stated | |
| Max thinking budget | Not stated | 262.14K |
| Tool use | ||
| Structured output | ||
| Pricing · per 1M tokens | ||
| Input price | $1.25 | $0.276 |
| Output price | $4.25 | $1.101 |
| Cache read price | $0.15 | $0.056 |
| Cache write price | — | $0.344Explicit cache |
| Blended price (3 input : 1 output) | $2.00 | $0.48225 |
| Pricing under conditions · per 1M tokens | ||
| Input price, long prompts | Not offered | $0.826Prompts over 256K tokens |
| Output price, long prompts | Not offered | $3.301Prompts over 256K tokens |
| Cited scores | ||
| Epoch Capabilities Index | 158 | 147.8 |
| LMArena Text | 1,495 max effort | 1,456 |
| LMArena Text · Coding | 1,534 max effort | 1,500 |
| LMArena Vision | 1,308 max effort | 1,278 |
| LMArena Text · Chinese | 1,529 max effort | 1,503 |
| Epoch AI · GPQA Diamond | — | 87.9% |
| Epoch AI · FrontierMath Tiers 1–3 | 74.4% xhigh effort | 34.4% reasoning off |
Headline prices may come from different channels, regions or tiers. Check each source before choosing a model; missing facts stay blank.
Model details and sources
- Muse Spark 1.3 → Available
- Qwen3.7-Plus → Available
Cited scores
- Epoch AI, 'Capabilities & benchmarking'. Published online at epoch.ai. Retrieved from 'https://epoch.ai/benchmarks'. Licensed CC BY 4.0. · Epoch AI Benchmarking Hub data · CC BY 4.0 · as of Nov 5, 2026
- Epoch AI, 'Capabilities & benchmarking'. Published online at epoch.ai. Retrieved from 'https://epoch.ai/benchmarks'. Licensed CC BY 4.0. · Epoch AI Benchmarking Hub data · CC BY 4.0 · as of Oct 28, 2026
- Epoch AI, 'Capabilities & benchmarking'. Published online at epoch.ai. Retrieved from 'https://epoch.ai/benchmarks'. Licensed CC BY 4.0. · Epoch AI Benchmarking Hub data · CC BY 4.0 · as of Nov 4, 2026
- EQ-Bench by Samuel J. Paech (eqbench.com; EQ-bench/EQ-bench-site on GitHub), MIT License. · EQ-Bench: Longform Writing · MIT · as of Oct 28, 2026
- LiveBench (White et al.), release 2026-06-25, livebench.ai, licensed CC BY-SA 4.0. This board, adapted from it, is shared under CC BY-SA 4.0. · LiveBench release 2026-06-25 · CC BY-SA 4.0 · as of Jun 25, 2026
- LMArena (Arena), leaderboard-dataset on Hugging Face, licensed CC BY 4.0 · LMArena leaderboard dataset (Hugging Face) · CC BY 4.0 · as of Sep 13, 2026
- LMArena (Arena), leaderboard-dataset on Hugging Face, licensed CC BY 4.0 · LMArena leaderboard dataset (Hugging Face) · CC BY 4.0 · as of Oct 28, 2026
- LMArena (Arena), leaderboard-dataset on Hugging Face, licensed CC BY 4.0 · LMArena leaderboard dataset (Hugging Face) · CC BY 4.0 · as of Oct 19, 2026
- Terminal-Bench 4.0 leaderboard (Marten, Shaw et al., Terminal-Bench; harbor-framework/terminal-bench on GitHub), licensed Apache-2.0. · harbor-framework/terminal-bench leaderboard submissions · Apache-2.0 · as of Sep 29, 2026