Muse Spark 1.3 Max vs Qwen3.8 Max 0902 compared

Muse Spark 1.3 Max leads the intelligence index 36.6 to 33.7. Compare price, speed, latency and a clear verdict.

Metric	Muse Spark 1.3 (Max)	Qwen3.8 Max (0902)
Intelligence Index	36.6	33.7
Input price (per 1M tokens)	$1.25	$2.00
Output price (per 1M tokens)	$4.25	$6.00
Output speed (tokens/s)	140	38
Time to first token	36s	3.2s
Release date	2026-09-02	2026-09-02

Metric

Muse Spark 1.3 (Max)

Qwen3.8 Max (0902)

Intelligence Index

36.6

33.7

Input price (per 1M tokens)

$1.25

$2.00

Output price (per 1M tokens)

$4.25

$6.00

Output speed (tokens/s)

140

Time to first token

36s

3.2s

Release date

2026-09-02

Muse Spark 1.3 (Max) and Qwen3.8 Max (0902) are close rivals from Meta and Alibaba. The biggest gap is output speed, where Muse Spark 1.3 Max records 140 tokens per second and Qwen3.8 Max 0902 38 tokens per second. No hands-on testing went into this write-up; it summarises the recorded benchmark, price and speed data for both models.

Speed and latency

Measured output speed is 140 tokens per second for Muse Spark 1.3 Max and 38 tokens per second for Qwen3.8 Max 0902. That makes Muse Spark 1.3 Max roughly 3.7 times as fast at writing. The wait for the first token averages 36 seconds on Muse Spark 1.3 Max against 3.2 seconds on Qwen3.8 Max 0902. So the two pull in opposite directions, with Qwen3.8 Max 0902 quicker off the mark and Muse Spark 1.3 Max quicker once it gets going; the crossover is around 1,700 tokens. Waits that long are felt on every chat-style request, though they matter less for batch jobs.

For a 2,000-token response, first token plus generation comes to roughly 50 seconds on Muse Spark 1.3 Max and 56 seconds on Qwen3.8 Max 0902.

Overall capability: 2.9 points apart

Muse Spark 1.3 Max comes out ahead on the intelligence index, 36.6 to 33.7. It is a small margin for an index that averages many evaluations. In relative terms, Muse Spark 1.3 Max scores 9% higher.

For context, that places Muse Spark 1.3 Max 36th and Qwen3.8 Max 0902 44th out of 109 scored models still on offer.

For coding or maths work specifically, the catalogue has no dedicated index on either side yet.

What they cost

Muse Spark 1.3 Max lists $1.25 per million input tokens and $4.25 per million output tokens; Qwen3.8 Max 0902 lists $2.00 and $6.00. That makes Muse Spark 1.3 Max's output 29% cheaper.

A reference job of 1 million input tokens and 200,000 output tokens costs $2.10 with Muse Spark 1.3 Max and $3.20 with Qwen3.8 Max 0902, so Muse Spark 1.3 Max saves $1.10. For classifying 100,000 short messages at 150 input tokens and 5 output tokens each, Muse Spark 1.3 Max would come in 37% lower: $20.88 for Muse Spark 1.3 Max against $33.00 for Qwen3.8 Max 0902.

Score per dollar

A blunt value measure, blended price over intelligence score, puts Muse Spark 1.3 Max at $0.055 and Qwen3.8 Max 0902 at $0.089 per point. With the higher score and the lower cost per point, Muse Spark 1.3 Max is the better value per point on these numbers.

When they came out

Both were released on September 2, 2026.

Common questions about Muse Spark 1.3 Max and Qwen3.8 Max 0902

Is Qwen3.8 Max 0902 better than Muse Spark 1.3 Max?

It depends on what you need: Muse Spark 1.3 Max scores higher on the intelligence index, 36.6 to 33.7; Muse Spark 1.3 Max is 33% cheaper on blended price; Muse Spark 1.3 Max streams output 3.7 times as fast; and Qwen3.8 Max 0902 reaches its first token sooner.

Are Muse Spark 1.3 Max and Qwen3.8 Max 0902 from the same company?

Muse Spark 1.3 Max is made by Meta and Qwen3.8 Max 0902 by Alibaba. Muse Spark 1.3 Max was released on September 2, 2026 and Qwen3.8 Max 0902 on September 2, 2026.

How much do Muse Spark 1.3 Max and Qwen3.8 Max 0902 cost?

Muse Spark 1.3 Max is cheaper on a blended basis. Muse Spark 1.3 Max lists $1.25 per million input tokens and $4.25 per million output tokens; Qwen3.8 Max 0902 lists $2.00 and $6.00. For 1 million input and 200,000 output tokens that is $2.10 against $3.20.

Was this comparison tested by hand?

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.

Which is faster, Muse Spark 1.3 Max or Qwen3.8 Max 0902?

Muse Spark 1.3 Max generates output faster, at 140 tokens per second against 38 tokens per second. Qwen3.8 Max 0902 reaches its first token sooner (3.2 seconds against 36 seconds). Counting the first-token wait, Qwen3.8 Max 0902 finishes short replies first and Muse Spark 1.3 Max pulls ahead beyond about 1,700 tokens.

Final whistle

The verdict: Muse Spark 1.3 Max has more going for it here, but Qwen3.8 Max 0902 is not without an argument. Pick Qwen3.8 Max 0902 if users are waiting on the first word. Pick Muse Spark 1.3 Max if your outputs often run past about 1,700 tokens and you need the higher overall score (36.6 against 33.7).

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 Muse Spark 1.3 (Max) and Qwen3.8 Max (0902) pages. The AI Benchmark methodology explains how that data is collected and shown.