Gemini 3.8 Flash vs Muse Spark 1.2
Side-by-side comparison of API pricing, specs, benchmarks, and capabilities
| Specification |
Gemini 3.8 FlashIntro price
by Google
|
by Meta
|
|---|---|---|
| Overview | ||
| Status | Current flagship | Current flagship |
| Released | ||
| Pricing per million tokens | ||
| Input | $0.750/Mtok | $1.25/Mtok |
| Output | $3.75/Mtok | $4.25/Mtok |
| Blended avg | $1.50/Mtok | $2.00/Mtok |
| Cached input | $0.075/Mtok | $0.150/Mtok |
| Price basis | Google's Gemini API pricing page prints a dated, two-phase schedule for this model, the same Standard tier as Gemini 3.7 Flash: $0.75 per 1M input tokens through December 31, 2026, rising to $1.50 on January 1, 2027, and $3.75 per 1M output tokens through December 31, 2026, rising to $7.50. Context caching follows the same dates ($0.075, then $0.15). We publish the rate you would pay today and re-verify it before the changeover date. Note that resellers may quote a lower figure: OpenRouter's ':batch' route for this model shows $0.375/$1.875, which is Google's own Batch tier — exactly half the standard rate, and not what an ordinary API call is billed. We publish the standard rate. Checked 2026-09-03 against ai.google.dev/gemini-api/docs/pricing, anchored on the section's API-name line 'Gemini 3.8 Flash gemini-3.8-flash'. | 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. 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. Search grounding is billed separately per 1,000 queries and is not included in the token rate. |
| Specifications | ||
| Context window | 1M tokens | 1M tokens |
| Parameters | Proprietary | Proprietary |
| Speed (TPS) | — | — |
| Modalities | ||
| Input |
textimageaudiovideo
|
textimagevideoaudio
|
| Benchmarks sources: Artificial Analysis / Artificial Analysis, LMSYS Chatbot Arena (UC Berkeley) | ||
| Independent composite scores measured for both models — each on its own scale | ||
| AA Intelligence Index | 58.7 | 56.8 |
| AA Agentic Index | 50 | 49.3 |
| AA-Omniscience Index (−100–100) | 29.6 | 27.2 |
| GDPval-AA v2 | 1545.5 ELO | 1615 ELO |
| LMSYS Chatbot Arena | 1493.8 ELO | 1498 ELO |
| Per-benchmark results published for Muse Spark 1.2 only — no independent per-benchmark scores exist for Gemini 3.8 Flash yet | ||
| Avg benchmark score | — | 62 |
| Perf / dollar | — | 31 |
| Terminal-Bench 2.1 | — | 80 |
| Humanity's Last Exam | — | 44 |
| Providers | ||
| Available from |
Google — $0.750/$3.75/Mtok
|
Meta — $1.25/$4.25/Mtok
|
Cost at scale
1M tokens · 50/50 input/output| Volume | Gemini 3.8 Flash | Muse Spark 1.2 | Savings |
|---|---|---|---|
| 1M tokens | $1.5 | $2 | $0.5 (25%) |
| 10M tokens | $15 | $20 | $5 (25%) |
| 100M tokens | $150 | $200 | $50 (25%) |
| 1000M tokens | $1500 | $2000 | $500 (25%) |
When to pick which
distilled from the pricing and spec data above- cost dominates: $1.50/Mtok blended vs $2.00 — 25% less on the same 50/50 token mix
- your workload re-reads context (agents, RAG, long chats): cached input costs $0.075/Mtok — 90% off its list input price
- this pairing gives Muse Spark 1.2 no edge on price, context, cache discount, or measured performance — pick it only for qualitative fit (ecosystem, compliance, model behavior on your prompts)
The cheaper option here — Gemini 3.8 Flash costs $1.50/Mtok blended on Google.
Summary
Gemini 3.8 Flash by Google costs $0.750/Mtok input and $3.75/Mtok output, with a 1M-token context window. It supports text, image, audio, video input.
Muse Spark 1.2 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.
On a blended cost basis, Gemini 3.8 Flash is 25% cheaper than Muse Spark 1.2.
The two aren't directly comparable on average benchmark score: Muse Spark 1.2 has published per-benchmark results, while Gemini 3.8 Flash 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.