Muse Spark 1.3 vs DeepSeek V4 Pro 0424: Release Comparison

Comparison of the Muse Spark 1.3 and DeepSeek V4 Pro 0424 releases: 2 and 3 models respectively, each with different intelligence, performance, and pricing characteristics. Below is a comparison of the key metrics across all 5 models.

  • For intelligence, Muse Spark 1.3 scores highest: Muse Spark 1.3 (max) at 62, against DeepSeek V4 Pro (Reasoning, Max Effort) at 45 for DeepSeek V4 Pro 0424.
  • For output speed, Muse Spark 1.3 is fastest: Muse Spark 1.3 (xhigh) at 235 t/s, against DeepSeek V4 Pro (Reasoning, Max Effort) at 65 t/s for DeepSeek V4 Pro 0424.
  • For cost per task, DeepSeek V4 Pro 0424 is cheapest: DeepSeek V4 Pro (Reasoning, High Effort) at $0.04, against Muse Spark 1.3 (xhigh) at $0.55 for Muse Spark 1.3.

Releases compared

MetaMuse Spark 1.3DeepSeekDeepSeek V4 Pro 0424

Intelligence

Artificial Analysis Intelligence Index

Artificial Analysis Intelligence Index v4.1.1 incorporates 9 evaluations: GDPval-AA v2, 𝜏³-Banking, Terminal-Bench v2.1, SciCode, Humanity's Last Exam, GPQA Diamond, CritPt, AA-Omniscience, AA-LCR
Estimate (independent evaluation forthcoming)

Artificial Analysis Intelligence Index v4.1.1 includes: GDPval-AA v2, 𝜏³-Banking, Terminal-Bench v2.1, SciCode, Humanity's Last Exam, GPQA Diamond, CritPt, AA-Omniscience, AA-LCR. See Intelligence Index methodology for further details, including a breakdown of each evaluation and how we run them.

Intelligence Index vs. Cost per Intelligence Index Task

Artificial Analysis Intelligence Index · Weighted average cost (USD) per Artificial Analysis Intelligence Index task
Most attractive quadrant
DeepSeek V4 Pro 0424
Pareto line

Weighted average cost per Intelligence Index task. Each evaluation’s cost is calculated from input, cache hit, cache write, reasoning, and answer token prices, divided by task count, and weighted by its Intelligence Index weight.

Artificial Analysis Intelligence Index v4.1.1 includes: GDPval-AA v2, 𝜏³-Banking, Terminal-Bench v2.1, SciCode, Humanity's Last Exam, GPQA Diamond, CritPt, AA-Omniscience, AA-LCR. See Intelligence Index methodology for further details, including a breakdown of each evaluation and how we run them.

Cost

Cost per Intelligence Index Task

Weighted average cost (USD) per Artificial Analysis Intelligence Index task, segmented by token type. Lower is better

Weighted average cost per Intelligence Index task. Each evaluation’s cost is calculated from input, cache hit, cache write, reasoning, and answer token prices, divided by task count, and weighted by its Intelligence Index weight.

Speed & Latency

Output Speed

Output tokens per second · Higher is better

Tokens per second received while the model is generating tokens (ie. after first chunk has been received from the API for models which support streaming).

Figures represent performance of the model's first-party API (e.g. OpenAI for o1) or the median across providers where a first-party API is not available (e.g. Meta's Llama models).

Capability Scores

Capability Indices

Measures the performance of models on specific capabilities and industries
Agentic Index

Measures performance in agentic workflows, focusing on behaviors like tool use, planning, autonomy, and complex problem solving.

Finance & Accounting Index

Incorporates 5 evaluations: AA-Omniscience, GDPval-AA v2, Humanity's Last Exam, 𝜏³-Banking, AA-LCR · Higher is better

Strategy & Ops Index

Incorporates 4 evaluations: AA-Omniscience, GDPval-AA v2, 𝜏³-Banking, AA-LCR · Higher is better

Legal Index

Incorporates 5 evaluations: AA-Omniscience, GDPval-AA v2, AA-LCR, 𝜏³-Banking, Humanity's Last Exam · Higher is better

Healthcare & Medical Index

Incorporates 5 evaluations: AA-Omniscience, GDPval-AA v2, MLCR-AA, Humanity's Last Exam, 𝜏³-Banking · Higher is better

Engineering Index

Incorporates 6 evaluations: AA-Omniscience, Humanity's Last Exam, GPQA Diamond, CritPt, GDPval-AA v2, Terminal-Bench v2.1 · Higher is better

Economics Index

Incorporates 4 evaluations: AA-Omniscience, Humanity's Last Exam, GDPval-AA v2, AA-LCR · Higher is better

Further details

Weights
Provider Benchmarks
Muse Spark 1.3 (max)
Meta logoMeta
62
-
1M
-
-
Not available
-
View
Muse Spark 1.3 (xhigh)
Meta logoMeta
61
-
1M
$0.8
235
Not available
Meta
View
DeepSeek V4 Pro (Reasoning, Max Effort)
DeepSeek logoDeepSeek
45
1.6T
49B active at inference time
1M
$0.2
65
🤗
DeepInfraMicrosoft AzureNovita
+6
View
DeepSeek V4 Pro (Reasoning, High Effort)
DeepSeek logoDeepSeek
44
1.6T
49B active at inference time
1M
$0.2
63
🤗
DeepInfraMicrosoft AzureDeepSeek
+5
View
DeepSeek V4 Pro (Non-reasoning)
DeepSeek logoDeepSeek
32
1.6T
49B active at inference time
1M
$0.2
56
🤗
Microsoft AzureBitdeer AINebius
+2
View