Head-to-head AI model comparison graphic: DeepSeek V4.1 Flash 1017 (DeepSeek) vs Muse Spark 1.3 (Meta). Intelligence index 32.6 vs 36.6; output speed 162 vs 140 tokens per second; time to first token 1.2s vs 36s; output price $1.20 vs $4.25 per million tokens; input price $0.30 vs $1.25 per million tokens. franklineh.com
DeepSeek V4.1 Flash 1017 vs Muse Spark 1.3: head-to-head AI benchmark comparison. DeepSeek V4.1 Flash 1017 leads on output speed, time to first token, output price and input price; Muse Spark 1.3 leads on intelligence index.
Head to headUpdated

DeepSeek V4.1 Flash 1017 Max vs Muse Spark 1.3 Max compared

Muse Spark 1.3 Max leads the intelligence index 36.6 to 32.6. Benchmarks, sample bills, speed and a verdict.

Pick it for DeepSeek V4.1 Flash 1017 · Max

  • Shorter wait for the first token: 1.2 seconds against 36 seconds.
  • Lower cost: $0.54 against $2.10 for 1 million input and 200,000 output tokens.
  • Faster output: 162 tokens per second against 140 tokens per second.

Pick it for Muse Spark 1.3 · Max

  • Higher intelligence index: 36.6 against 32.6.

By the numbers

MetricDeepSeek V4.1 Flash 1017 (Max)Muse Spark 1.3 (Max)
Intelligence Index32.636.6
Input price (per 1M tokens)$0.30$1.25
Output price (per 1M tokens)$1.20$4.25
Output speed (tokens/s)162140
Time to first token1.2s36s
Release date2026-10-172026-09-02

DeepSeek V4.1 Flash 1017 (Max) (DeepSeek) and Muse Spark 1.3 (Max) (Meta) meet here on their recorded benchmark, price and speed data. Everything below is read from the benchmark, price and speed data in Franklin AI's catalogue; nothing here comes from a hands-on test. The widest gap is the wait for the first token: 1.2 seconds for DeepSeek V4.1 Flash 1017 Max against 36 seconds for Muse Spark 1.3 Max.

DeepSeek V4.1 Flash 1017 Max is the faster writer

DeepSeek V4.1 Flash 1017 Max generates about 162 tokens per second and Muse Spark 1.3 Max about 140 tokens per second. On long outputs, that is a real advantage for DeepSeek V4.1 Flash 1017 Max. The wait for the first token averages 1.2 seconds on DeepSeek V4.1 Flash 1017 Max against 36 seconds on Muse Spark 1.3 Max. In an interactive app, DeepSeek V4.1 Flash 1017 Max will feel noticeably more responsive. Waits that long are felt on every chat-style request, though they matter less for batch jobs.

For a 400-token response, first token plus generation comes to roughly 3.7 seconds on DeepSeek V4.1 Flash 1017 Max and 39 seconds on Muse Spark 1.3 Max.

Reasoning and overall scores

DeepSeek V4.1 Flash 1017 Max records 32.6 on the intelligence index and Muse Spark 1.3 Max records 36.6. That is a clear margin for an index that averages many evaluations.

Among 109 active scored models, DeepSeek V4.1 Flash 1017 Max sits 45th and Muse Spark 1.3 Max 36th.

Specialist coding and math indexes are missing for both, so treat the overall score as the only capability signal here.

Price per token

DeepSeek V4.1 Flash 1017 Max lists $0.30 per million input tokens and $1.20 per million output tokens; Muse Spark 1.3 Max lists $1.25 and $4.25. Muse Spark 1.3 Max costs 3.5 times as much per output token.

A reference job of 1 million input tokens and 200,000 output tokens costs $0.54 with DeepSeek V4.1 Flash 1017 Max and $2.10 with Muse Spark 1.3 Max, so DeepSeek V4.1 Flash 1017 Max saves $1.56. A bigger example, a month of coding-assistant traffic at 30 million input and 3 million output tokens, costs $12.60 on DeepSeek V4.1 Flash 1017 Max and $50.25 on Muse Spark 1.3 Max: a gap of $37.65. Blended at three input tokens per output token, the effective rates are $0.525 for DeepSeek V4.1 Flash 1017 Max and $2.00 for Muse Spark 1.3 Max.

Score per dollar

A blunt value measure, blended price over intelligence score, puts DeepSeek V4.1 Flash 1017 Max at $0.016 and Muse Spark 1.3 Max at $0.055 per point. So Muse Spark 1.3 Max buys its higher score at a premium, while DeepSeek V4.1 Flash 1017 Max is the value pick, paying 71% less per point.

Release timing

DeepSeek V4.1 Flash 1017 Max arrived on October 17, 2026, about a month after Muse Spark 1.3 Max (September 2, 2026). They are effectively contemporaries.

FAQ

Is DeepSeek V4.1 Flash 1017 Max better than Muse Spark 1.3 Max?

Not across the board: Muse Spark 1.3 Max scores higher on the intelligence index, 36.6 to 32.6; DeepSeek V4.1 Flash 1017 Max is 74% cheaper on blended price; and DeepSeek V4.1 Flash 1017 Max streams output 1.2 times as fast.

Does DeepSeek V4.1 Flash 1017 Max respond faster than Muse Spark 1.3 Max?

DeepSeek V4.1 Flash 1017 Max generates output faster, at 162 tokens per second against 140 tokens per second. DeepSeek V4.1 Flash 1017 Max reaches its first token sooner (1.2 seconds against 36 seconds).

Who makes DeepSeek V4.1 Flash 1017 Max and Muse Spark 1.3 Max?

DeepSeek V4.1 Flash 1017 Max is made by DeepSeek and Muse Spark 1.3 Max by Meta. DeepSeek V4.1 Flash 1017 Max was released on October 17, 2026 and Muse Spark 1.3 Max on September 2, 2026.

Which is newer, DeepSeek V4.1 Flash 1017 Max or Muse Spark 1.3 Max?

DeepSeek V4.1 Flash 1017 Max is newer. It was released on October 17, 2026, about a month after Muse Spark 1.3 Max (September 2, 2026).

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.

Final whistle

Bottom line: DeepSeek V4.1 Flash 1017 Max is the stronger all-round pick on this data, while Muse Spark 1.3 Max makes sense in narrower cases. Pick DeepSeek V4.1 Flash 1017 Max if users are waiting on the first word and cost matters ($1.20 against $4.25 per million output tokens). Pick Muse Spark 1.3 Max if you need the higher overall score (36.6 against 32.6).

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 DeepSeek V4.1 Flash 1017 (Max) and Muse Spark 1.3 (Max) pages. The AI Benchmark methodology explains how that data is collected and shown.

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