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VECTOR WIREAI INTELLIGENCE
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Muse Spark 1.1 vs o4-mini

Meta · released

Wins 7 of 7 areas

Coding · Agents · Reasoning · Facts · Images and charts · Long documents · Following instructions

OpenAI · released

Wins 0 of 7 areas

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Muse Spark 1.1 is the stronger all-rounder.

Scores updated · 16 tests both models report · How we compare

What it costs

Prices per million tokens, roughly 750,000 words. The bars show the cost of a million tokens read plus a million written.

Muse Spark 1.1$1.25 to read · $4.25 to write$5.50Price from Artificial Analysis
o4-mini$1.10 to read · $4.40 to write$5.50Price from Artificial Analysis

The biggest differences

The tests each model wins by the widest margin, up to three each. Scores are out of 100.

Where Muse Spark 1.1 pulls ahead

Where o4-mini pulls ahead

No clear win on a test scored out of 100.

Every test, side by side

All 16 tests both models report. The winning score is in its model's colour; marks a score checked independently.

CodingMuse Spark 1.1
  • SciCodeMuse Spark 1.1 by 12.358.846.5+12.3

Full coding ranking

AgentsMuse Spark 1.1
  • GDPValMuse Spark 1.1 by 10.335.725.4+10.3

Full agents ranking

ReasoningMuse Spark 1.1

Full reasoning ranking

FactsMuse Spark 1.1

Full facts ranking

Images and chartsMuse Spark 1.1

Full images and charts ranking

Long documentsMuse Spark 1.1
  • AA-LCRMuse Spark 1.1 by 16.777.761+16.7

Full long documents ranking

Following instructionsMuse Spark 1.1

Full following instructions ranking

Other results4 tests, not counted

Tests outside the eight areas. They are not counted above: several are summary scores built from other tests, or the same test under another name.

Questions people ask

Which is better, Muse Spark 1.1 or o4-mini?

Muse Spark 1.1 wins all seven areas where both have results: coding, agents, reasoning, facts, images and charts, long documents and following instructions. o4-mini wins none.

Which is better for coding?

Muse Spark 1.1. It wins the one coding test both models report.

Which is cheaper?

Muse Spark 1.1 costs $1.25 per million input tokens and $4.25 per million output tokens; o4-mini costs $1.10 and $4.40. For a million tokens read plus a million written, they cost about the same.

How do you compare the two?

We use the 16 benchmark tests both models have published scores on. The verdict counts the 12 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 4 are listed but not counted, because several are summary scores or repeat a test. Each score is the one shown on the model's own page.