Head-to-head AI model comparison graphic: Gemini 3.8 Flash (Google) vs Muse Spark 1.3 (Meta). Intelligence index 30.8 vs 36.6; output speed 121 vs 140 tokens per second; time to first token 27s vs 36s; output price $3.75 vs $4.25 per million tokens; input price $0.75 vs $1.25 per million tokens. franklineh.com
Gemini 3.8 Flash vs Muse Spark 1.3: head-to-head AI benchmark comparison. Gemini 3.8 Flash leads on time to first token, output price and input price; Muse Spark 1.3 leads on intelligence index and output speed.
Head to headUpdated

Gemini 3.8 Flash High vs Muse Spark 1.3 Max compared

Muse Spark 1.3 Max leads the intelligence index 36.6 to 30.8. Gemini 3.8 Flash High costs 25% less on blended price. See token costs, speed and which to pick.

Pick it for Gemini 3.8 Flash · High

  • Lower cost: $1.50 against $2.10 for 1 million input and 200,000 output tokens.
  • Shorter wait for the first token: 27 seconds against 36 seconds.

Pick it for Muse Spark 1.3 · Max

  • Higher intelligence index: 36.6 against 30.8.
  • Faster output once writing: 140 tokens per second against 121 tokens per second, which wins on total time beyond about 7,800 tokens.

By the numbers

MetricGemini 3.8 Flash (High)Muse Spark 1.3 (Max)
Intelligence Index30.836.6
Input price (per 1M tokens)$0.75$1.25
Output price (per 1M tokens)$3.75$4.25
Output speed (tokens/s)121140
Time to first token27s36s
Release date2026-09-022026-09-02

Gemini 3.8 Flash (High) from Google and Muse Spark 1.3 (Max) from Meta are both tracked in Franklin AI's benchmark catalogue. Their widest difference is the intelligence index, with Muse Spark 1.3 Max ahead by 5.8 points (36.6 versus 30.8). This page is written automatically from catalogue numbers only: benchmark scores, list prices and measured speed.

Muse Spark 1.3 Max leads on the intelligence index

The catalogue puts Gemini 3.8 Flash High at 30.8 and Muse Spark 1.3 Max at 36.6 on its intelligence index. That is a clear margin for an index that averages many evaluations.

Across the 109 active models with an intelligence score in the catalogue, Gemini 3.8 Flash High ranks 50th and Muse Spark 1.3 Max ranks 36th.

There are no coding or math index scores for either model in the catalogue, which keeps this comparison at the aggregate level.

Which is newer

Both were released on September 2, 2026.

How fast they respond

Measured output speed is 121 tokens per second for Gemini 3.8 Flash High and 140 tokens per second for Muse Spark 1.3 Max. That makes Muse Spark 1.3 Max roughly 1.2 times as fast at writing. The wait for the first token averages 27 seconds on Gemini 3.8 Flash High against 36 seconds on Muse Spark 1.3 Max. That is a genuine trade-off: Gemini 3.8 Flash High starts sooner, while Muse Spark 1.3 Max finishes first once outputs run beyond about 7,800 tokens. Waits that long are felt on every chat-style request, though they matter less for batch jobs.

Put together, a 600-token answer would take about 32 seconds from Gemini 3.8 Flash High and 40 seconds from Muse Spark 1.3 Max, counting the first-token wait.

Price per token

Gemini 3.8 Flash High lists $0.75 per million input tokens and $3.75 per million output tokens; Muse Spark 1.3 Max lists $1.25 and $4.25. Muse Spark 1.3 Max costs 1.1 times as much per output token.

For a sample workload of 1 million input tokens and 200,000 output tokens, Gemini 3.8 Flash High would cost $1.50 and Muse Spark 1.3 Max $2.10, a difference of $0.60. Scale it up to an agent that reads 50 million tokens and writes 5 million in a month and the bill is $56.25 for Gemini 3.8 Flash High against $83.75 for Muse Spark 1.3 Max.

Cost per point of intelligence

Dividing the blended price by the intelligence index gives a rough cost per point: $0.049 for Gemini 3.8 Flash High and $0.055 for Muse Spark 1.3 Max, per million tokens. Gemini 3.8 Flash High delivers each index point for 11% less; whether Muse Spark 1.3 Max's extra 5.8 points are worth the premium depends on how often your tasks need them.

Quick answers

Is Muse Spark 1.3 Max better than Gemini 3.8 Flash High?

Neither wins everywhere: Muse Spark 1.3 Max scores higher on the intelligence index, 36.6 to 30.8; Gemini 3.8 Flash High is 25% cheaper on blended price; Muse Spark 1.3 Max streams output 1.2 times as fast; and Gemini 3.8 Flash High reaches its first token sooner.

Does Gemini 3.8 Flash High respond faster than Muse Spark 1.3 Max?

Muse Spark 1.3 Max generates output faster, at 140 tokens per second against 121 tokens per second. Gemini 3.8 Flash High reaches its first token sooner (27 seconds against 36 seconds). Counting the first-token wait, Gemini 3.8 Flash High finishes short replies first and Muse Spark 1.3 Max pulls ahead beyond about 7,800 tokens.

Where do these numbers come from?

The figures are the recorded benchmark, price and speed data in Franklin AI's model catalogue. This page is written from that data automatically; neither model was tested by hand for it.

How much do Gemini 3.8 Flash High and Muse Spark 1.3 Max cost?

Gemini 3.8 Flash High is cheaper on a blended basis. Gemini 3.8 Flash High lists $0.75 per million input tokens and $3.75 per million output tokens; Muse Spark 1.3 Max lists $1.25 and $4.25. For 1 million input and 200,000 output tokens that is $1.50 against $2.10.

Are Gemini 3.8 Flash High and Muse Spark 1.3 Max from the same company?

Gemini 3.8 Flash High is made by Google and Muse Spark 1.3 Max by Meta. Gemini 3.8 Flash High was released on September 2, 2026 and Muse Spark 1.3 Max on September 2, 2026.

Final whistle

Short answer: Muse Spark 1.3 Max is the stronger all-round pick on this data, while Gemini 3.8 Flash High makes sense in narrower cases. Pick Muse Spark 1.3 Max if you need the higher overall score (36.6 against 30.8) and your outputs often run past about 7,800 tokens. Pick Gemini 3.8 Flash High if cost matters ($3.75 against $4.25 per million output tokens) and users are waiting on the first word.

Where the numbers come from

The scores, speed and prices in this comparison come from independent third-party model evaluations that Franklin AI syncs each day, and the article was written from a snapshot of them. For the latest results, open the Gemini 3.8 Flash (High) and Muse Spark 1.3 (Max) pages. The AI Benchmark methodology explains how that data is collected and shown.

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