Muse Spark 1.3 vs Gemini 3.1 Pro
Side-by-side comparison of API pricing, specs, benchmarks, and capabilities
| Specification |
by Meta
|
by Google
|
|---|---|---|
| Overview | ||
| Status | Current flagship | Current flagship |
| Released | ||
| Pricing per million tokens | ||
| Input | $1.25/Mtok | $2.00/Mtok |
| Output | $4.25/Mtok | $12.00/Mtok |
| Blended avg | $2.00/Mtok | $4.50/Mtok |
| Cached input | $0.150/Mtok | $0.200/Mtok |
| Price basis | Meta Model API standard-tier list price, per 1M tokens, with no long-context premium — the tier on which Meta states prompts and completions are not used for training. Meta's card prices 1.3, 1.2 and 1.1 off one shared standard-tier table. A cheaper contributor tier ($0.10 input / $0.20 output per 1M) trades training rights and a far lower rate limit (100 vs 3,000 requests/min) for the discount, so it is not the tracked list price. The "max" extended-reasoning effort level is a request parameter on this same model and Standard-tier rate, not a separately priced SKU. Search grounding is billed separately at $2.50 per 1,000 queries and is not included in the token rate. | — |
| Specifications | ||
| Context window | 1M tokens | 2M tokens |
| Parameters | Proprietary | Proprietary |
| Speed (TPS) | — | — |
| Modalities | ||
| Input |
textimagevideoaudio
|
textimageaudiovideo
|
| Benchmarks sources: Artificial Analysis / Vellum LLM Leaderboard | ||
| Independent composite scores measured for both models — each on its own scale | ||
| AA Intelligence Index | 53 | 36.7 |
| AA Agentic Index | 55.6 | 10.4 |
| AA-Omniscience Index (−100–100) | 24.9 | 31.9 |
| GDPval-AA v2 | 1720.2 ELO | — |
| LMSYS Chatbot Arena | — | 1486.7 ELO |
| Per-benchmark results published for Gemini 3.1 Pro only — no independent per-benchmark scores exist for Muse Spark 1.3 yet | ||
| Avg benchmark score | — | 74.8 |
| Perf / dollar | — | 16.6 |
| GPQA Diamond | — | 94.3 |
| Terminal-Bench 2.1 | — | 70.3 |
| MCP Atlas | — | 69.2 |
| BrowseComp | — | 85.9 |
| OSWorld-Verified | — | 76.2 |
| Humanity's Last Exam | — | 44.4 |
| ARC-AGI 2 | — | 77.1 |
| HumanEval | — | 80.6 |
| Providers | ||
| Available from |
Meta — $1.25/$4.25/Mtok
|
Google — $2.00/$12.00/Mtok
|
Cost at scale
1M tokens · 50/50 input/output| Volume | Muse Spark 1.3 | Gemini 3.1 Pro | Savings |
|---|---|---|---|
| 1M tokens | $2 | $4.5 | $2.5 (55.6%) |
| 10M tokens | $20 | $45 | $25 (55.6%) |
| 100M tokens | $200 | $450 | $250 (55.6%) |
| 1000M tokens | $2000 | $4500 | $2500 (55.6%) |
When to pick which
distilled from the pricing and spec data above- cost dominates: $2.00/Mtok blended vs $4.50 — 55.6% less on the same 50/50 token mix
- your workload re-reads context (agents, RAG, long chats): cached input costs $0.200/Mtok — 90% off its list input price
- you need the longer context: 2M tokens vs 1M (1.9×)
Summary
Muse Spark 1.3 by Meta costs $1.25/Mtok input and $4.25/Mtok output, with a 1M-token context window. It supports text, image, video, audio input.
Gemini 3.1 Pro by Google costs $2.00/Mtok input and $12.00/Mtok output, with a 2M-token context window. It supports text, image, audio, video input.
On a blended cost basis, Muse Spark 1.3 is 55.6% cheaper than Gemini 3.1 Pro.
The two aren't directly comparable on average benchmark score: Gemini 3.1 Pro has published per-benchmark results, while Muse Spark 1.3 does not yet — it is measured today on independent composites (see the table above).
Note: Pricing is per million tokens. Actual costs vary with usage patterns, prompt caching, and batch discounts. Always verify against official provider pricing pages.