Compare / head-to-head

GPT-5.4vsMuse Spark

GPT-5.4 leads 5 of 8 shared benchmarks.

Benchmarks from cited public sources; pricing from official pages; status from official provider feeds.

Shared benchmarks
5 – 3
GPT-5.4 leads
Cheaper per token
—
list price, input + output
Larger context
—
both 1.1M tokens
Providers
2 providers
OpenAI · Meta
GPT-5.4
OpenAI · released 2026-03-05
textvision
Context
1.1M
Max out
128K
Input /1M
$2.5 ↗
Output /1M
$15 ↗
Cached /1M
$0.25
Scores
50 · 14 core
Muse Spark
Meta · released 2026-04-08
textvision
Context
—
Max out
—
Input /1M
—
Output /1M
—
Cached /1M
—
Scores
19 · 8 core
Quality

Benchmark matrix

BenchmarkGPT-5.4Muse SparkΔEdge
Reported by both · 8
GPQA Diamond92.8% ↗89.5% ↗+3.3 ptGPT-5.4
Humanity's Last Exam (no tools)39.8% ↗42.8% ↗-3 ptMuse Spark
LMArena Elo1452.6 ↗1489.3 ↗-36.7Muse Spark
Humanity's Last Exam (with tools)52.1% ↗50.4% ↗+1.7 ptGPT-5.4
LMArena Vision (LMArena)1283.8 ↗1293.6 ↗-9.8Muse Spark
OTIS Mock AIME 2024-2025 (Epoch AI run)97.8% ↗epoch run88.9% ↗epoch run+8.9 ptGPT-5.4
SWE-Bench Pro57.7% ↗52.4% ↗+5.3 ptGPT-5.4
Terminal-Bench 2.075.1% ↗59% ↗+16.1 ptGPT-5.4
Only GPT-5.4 reports · 34
AIME 202699.2% ↗matharena ⚠not reported——
APEX-Agents (Mercor)52.4% ↗not reported——
BrowseComp82.7% ↗not reported——
Chess Puzzles (Epoch AI run)44% ↗epoch runnot reported——
DeepSWE v1.1 (Datacurve)51.8% ↗not reported——
EBR-bench (Epoch AI run)25.4% ↗epoch runnot reported——
FrontierMath Tier 4 v2 (Epoch AI run)49% ↗epoch runnot reported——
FrontierMath Tiers 1-3 v2 (Epoch AI run)78.6% ↗epoch runnot reported——
Furniture Assembly (Epoch AI run)37.5% ↗epoch runnot reported——
GDPval (wins or ties)83% ↗not reported——
GSO Opt@1 (GSO)30.4% ↗not reported——
LiveBench Agentic Coding (LiveBench)53.8% ↗not reported——
LiveBench Coding (LiveBench)77.5% ↗not reported——
LiveBench Data Analysis (LiveBench)79.3% ↗not reported——
LiveBench Instruction Following (LiveBench)70.2% ↗not reported——
LiveBench Language (LiveBench)82.6% ↗not reported——
LiveBench Mathematics (LiveBench)94.1% ↗not reported——
LiveBench Reasoning (LiveBench)88.1% ↗not reported——
LMArena Agent (LMArena)0.0105 ↗not reported——
LMArena WebDev (LMArena)1395.1 ↗not reported——
MCP Atlas67.2% ↗not reported——
MirrorCode (Epoch AI run)15.6% ↗epoch runnot reported——
MMMU-Pro (no tools)81.2% ↗not reported——
MMMU-Pro (with tools)82.1% ↗not reported——
Mystery Game Puzzles (Epoch AI run)37% ↗epoch runnot reported——
OSWorld-Verified75% ↗not reported——
SAGE (Vals AI)43.3% ↗not reported——
SimpleQA Verified45.1% ↗epoch runnot reported——
SWE-bench Verified (Epoch AI run)76.9% ↗epoch runnot reported——
tau2-bench Banking Knowledge (Sierra)39.4% ↗not reported——
Tau2-bench Telecom98.9% ↗not reported——
Toolathlon54.6% ↗not reported——
Vending-Bench 2 (Andon Labs)6144.18 ↗not reported——
WeirdML (Håvard Tveit Ihle)77.7% ↗not reported——
Only Muse Spark reports · 10
SWE-bench Verifiednot reported77.4% ↗——
ARC AGI 2 (Public)not reported42.5% ↗——
CharXiv Reasoningnot reported86.4% ↗——
DeepSearchQAnot reported74.8% ↗——
HealthBench Hardnot reported42.8% ↗——
LiveCodeBench Pronot reported80% ↗——
MedXpertQA (MM)not reported78.4% ↗——
MMMU Pronot reported80.4% ↗——
ScreenSpot Pro (With Python)not reported84.1% ↗——
SimpleVQAnot reported71.3% ↗——
Scores tagged "epoch" or "matharena" are independent runs, used only where the lab has not published its own; ⚠ marks rows MathArena flags as released after the competition. Higher is better on every row. Δ is GPT-5.4 minus Muse Spark in the benchmark's own unit. "Not reported" means the lab has not published that figure; it is not a zero. ↗ opens the source.
Specs & pricing

Side by side

SpecGPT-5.4Muse SparkEdge
Context window1.1M tokens——
Max output128K tokens——
Input price / 1M$2.5 ↗——
Output price / 1M$15 ↗——
Cached input / 1M$0.25 ↗——
Input + output / 1M
Lower is cheaper. List prices; batch, tool and regional fees excluded.
$17.5——
Modalitiestext · visiontext · visionTie
Released2026-03-052026-04-08—
Cited benchmark scores5019—
Reliability

Provider status

All providers →
Built by Respan
Which one wins on your data?

Public benchmarks are a starting point. Run GPT-5.4 and Muse Spark on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.