GPT-5.4 Pro vs Muse Spark
Full profiles: GPT-5.4 Pro (OpenAI) and Muse Spark (Meta): every benchmark, price and rank.
Updated · Data from 7 sources
As of 25 Oct 2026, GPT-5.4 Pro and Muse Spark are neck and neck on quality (63.3 vs 64.3, inside the ±4.6 margin of error) and close on price, so pick on the category that matters to you. Pick GPT-5.4 Pro for knowledge (74 vs 63); pick Muse Spark for instruction following (77 vs 64).
GPT-5.4 Pro benchmarks 
Muse Spark benchmarks Which to pick for…
The pick's numbers come first. Category scores on the BenchLeader scale (50 is the average model, 15 points one standard deviation). High confidence means a lead of half a standard deviation or more; under one point is called either.
| Use case | Pick | Why | Confidence |
|---|---|---|---|
| Reasoning | GPT-5.4 Pro | 73 vs 65 category score; Humanity's Last Exam 44.3% vs 40.6% | Medium |
| Knowledge | GPT-5.4 Pro | 74 vs 63 category score; MultiNRC 62.3% vs 59.0% | High |
| Images and other media | GPT-5.4 Pro | 70 vs 65 category score | Medium |
| Following instructions | Muse Spark | 77 vs 64 category score; MultiChallenge 75.5% vs 69.2% | High |
| Chat quality (human preference) | – | Only Muse Spark has an Arena rating (68 category score) | Not comparable |
| High volume on a budget | Neither flagship | A smaller model is usually the better fit: Cheapest good LLMs, Fastest LLMs | – |
Key differences
- GPT-5.4 Pro and Muse Spark are neck and neck on quality (63.3 vs 64.3, within the ±4.6 margin).
- GPT-5.4 Pro is stronger in knowledge, multimodal, reasoning.
- Muse Spark is stronger in instruction following, agents & tools, coding, composite, human preference, long context, maths.
At a glance
| Spec | GPT-5.4 Pro | Muse Spark |
|---|---|---|
| Developer | OpenAI | Meta |
| Released | 4 Mar 2026 | 8 Apr 2026 |
| Context window (tokens) | 1,050,000 | 262,144 |
| Compared at | GPT-5.4 Pro | Muse Spark |
| Open weights | No | No |
| Price in / out / cached input per 1M | $30.00 / $180.00 / – | – |
Category by category
Category scores on the BenchLeader scale: 50 is the average evaluated model, 15 points is one standard deviation. A gap under one point is called level.
| Category | GPT-5.4 Pro | Muse Spark | Leader |
|---|---|---|---|
| Reasoning | 72.5 | 65.3 | GPT-5.4 Pro |
| Coding | – | 65.0 | not comparable |
| Agents & tools | – | 66.1 | not comparable |
| Maths | – | 59.1 | not comparable |
| Knowledge | 73.6 | 63.3 | GPT-5.4 Pro |
| Instruction following | 63.8 | 77.3 | Muse Spark |
| Human preference | – | 68.3 | not comparable |
| Multimodal | 69.8 | 64.5 | GPT-5.4 Pro |
| Long context | – | 64.0 | not comparable |
| Composite | – | 64.5 | not comparable |
Where sources disagree
Across the 6 benchmarks both have, GPT-5.4 Pro leads 3, Muse Spark leads 3.
| Overall index | GPT-5.4 Pro | Muse Spark | Leader |
|---|---|---|---|
| BenchLeader Index | 63.3 | 64.3 | neck and neck |
Each publisher runs its own tasks, harnesses and effort settings, so their overall verdicts can differ; BenchLeader reconciles them on one scale. † measured at another effort setting of the same model (the publisher did not test the one compared here).
Price, speed and latency
List prices blended at three input tokens per output token. Per-task prices use the token counts on the methodology page; suite cost is what Artificial Analysis paid to run its whole Intelligence Index.
| Measure | GPT-5.4 Pro | Muse Spark |
|---|---|---|
| Blended price per 1M tokens | $67.50 | – |
| Input / output per 1M | $30.00 / $180.00 | – / – |
| Price per task: chat reply | $0.066 | – |
| Price per task: summarize a 30-page report | $0.468 | – |
| Price per task: code edit | $0.450 | – |
| Price per task: agentic coding session | $2.52 | – |
| Price per task: structured extraction | $0.096 | – |
| Output speed | 7 tok/s | – |
| Time to first answer | 6.1 s | – |
Each model is compared at its best-ranked reasoning-effort setting. GPT-5.4 Pro scores 63.3 and takes 6 s to its first answer token; GPT-5.4 Pro (xhigh) scores 61.9 in 6 s. Muse Spark scores 64.3. Higher effort means more thinking before the answer: better scores, longer waits and more tokens billed. How reasoning effort changes scores and cost.
Every benchmark
65 benchmarks, grouped by category; each name links to the board and its leaders. † measured at another effort setting of the same model, shown for reference and not counted as a win.
| Metric | Publisher | GPT-5.4 Pro | Muse Spark |
|---|---|---|---|
| BenchLeader Index | BenchLeader | 63.3 | 64.3 |
| Instruction following score | BenchLeader | 63.8 | 77.3 |
| Knowledge score | BenchLeader | 73.6 | 63.3 |
| Multimodal score | BenchLeader | 69.8 | 64.5 |
| Reasoning score | BenchLeader | 72.5 | 65.3 |
| Agents & tools score | BenchLeader | – | 66.1 |
| Coding score | BenchLeader | – | 65.0 |
| Composite score | BenchLeader | – | 64.5 |
| Human preference score | BenchLeader | – | 68.3 |
| Long context score | BenchLeader | – | 64.0 |
| Maths score | BenchLeader | – | 59.1 |
| Blended price $/M | BenchLeader | $67.50 | – |
| Output speed | BenchLeader | 7 tok/s | – |
| Time to first answer | BenchLeader | 6.1 s | – |
| Context window | BenchLeader | 1,050,000 tokens | 262,144 tokens |
| Reasoning | |||
| GPQA Diamond | Epoch AI Benchmarking Hub | 94.6%† | 89.8% |
| Humanity's Last Exam | Scale AI / CAIS | 44.3% | 40.6% |
| SimpleBench | SimpleBench | 74.1% | – |
| Arena Hard Prompts | Arena (LMArena) | – | 1506 |
| GPQA Diamond (AA) | Artificial Analysis | – | 88.4% |
| Humanity's Last Exam (AA) | Artificial Analysis | – | 40.7% |
| GPQA Diamond (Vals) | Vals AI | – | 89.7% |
| ARC-AGI-1 | ARC Prize | 94.5%† | – |
| ARC-AGI-2 | ARC Prize | 83.3%† | – |
| CritPt | Artificial Analysis | 30.0%† | 11.3% |
| Chess Puzzles | Epoch AI Benchmarking Hub | 59.0%† | – |
| Coding | |||
| SciCode | SciCode | – | 51.5% |
| WeirdML | WeirdML | 57.4%† | – |
| Arena Coding | Arena (LMArena) | – | 1529 |
| SWE-bench (Vals) | Vals AI | – | 74.4% |
| SWE-Bench Pro | Scale AI SEAL | – | 55.0% |
| Vibe Code Bench v1.1 | Vals AI | – | 19.7% |
| SWE-Bench Pro (private) | Scale AI SEAL | – | 55.0% |
| SWE Atlas: Codebase QnA | Scale AI SEAL | – | 24.2% |
| SWE Atlas: Test Writing | Scale AI SEAL | – | 31.1% |
| Terminal-Bench 2.1 (AA) | Artificial Analysis | – | 62.2% |
| Agents & tools | |||
| Terminal-Bench Hard | Artificial Analysis | – | 45.5% |
| τ²-Bench Telecom (AA) | Artificial Analysis | – | 91.5% |
| MCP Atlas | Scale AI SEAL | – | 82.2% |
| Terminal-Bench 2.0 (Vals) | Vals AI | – | 59.5% |
Show all 65 benchmarks
| Metric | Publisher | GPT-5.4 Pro | Muse Spark |
|---|---|---|---|
| Maths | |||
| FrontierMath Tiers 1–3 | Epoch AI Benchmarking Hub | 82.5%† | – |
| FrontierMath Tier 4 | Epoch AI Benchmarking Hub | 58.5%† | – |
| OTIS Mock AIME | Epoch AI Benchmarking Hub | – | 88.9% |
| ProofBench | Vals AI | – | 17.0% |
| AIME (Vals) | Vals AI | – | 96.9% |
| MathArena Apex | MathArena | 69.8%† | – |
| Arena Maths | Arena (LMArena) | – | 1467 |
| Knowledge | |||
| SimpleQA Verified | Epoch AI Benchmarking Hub | 46.3%† | – |
| AA-Omniscience | Artificial Analysis | – | 7.2 |
| MMLU-Pro | Vals AI | – | 87.3% |
| LegalBench | Vals AI | – | 84.2% |
| CorpFin | Vals AI | – | 65.1% |
| TaxEval | Vals AI | – | 77.7% |
| PRBench Finance | Scale AI SEAL | – | 52.4% |
| PRBench Legal | Scale AI SEAL | – | 52.3% |
| MultiNRC | Scale AI SEAL | 62.3% | 59.0% |
| CaseLaw v2 | Vals AI | – | 63.1% |
| MedCode | Vals AI | – | 51.3% |
| MedScribe | Vals AI | – | 85.9% |
| AA-Omniscience: accuracy | Artificial Analysis | – | 49.6% |
| AA-Omniscience: non-hallucination | Artificial Analysis | – | 15.8% |
| Instruction following | |||
| IFBench | Artificial Analysis | – | 75.9% |
| MultiChallenge | Scale AI SEAL | 69.2% | 75.5% |
| TutorBench | Scale AI SEAL | 56.6% | 68.5% |
| Arena Instruction Following | Arena (LMArena) | – | 1465 |
| Human preference | |||
| Arena Text | Arena (LMArena) | – | 1489 |
| Arena Creative Writing | Arena (LMArena) | – | 1464 |
| Arena Multi-turn | Arena (LMArena) | – | 1494 |
| Arena Longer Queries | Arena (LMArena) | – | 1476 |
| Multimodal | |||
| Arena Vision | Arena (LMArena) | – | 1306 |
| MMMU-Pro | Artificial Analysis | – | 80.5% |
| VISTA | Scale AI SEAL | 53.9% | – |
| MMMU-Pro (official) | MMMU | – | 80.4%† |
| MMMU-Pro (Vals) | Vals AI | – | 87.4% |
| Long context | |||
| AA-LCR | Artificial Analysis | – | 78.0% |
| Arena Document | Arena (LMArena) | – | 1467 |
| Composite | |||
| Epoch Capabilities Index | Epoch AI Benchmarking Hub | 159.6 | 152.0 |
| AA Intelligence Index v4.3.2 | Artificial Analysis | – | 31.3 |
| Safety & honesty | |||
| FORTRESS | Scale AI SEAL | 14.8% | 20.2% |
| MASK | Scale AI SEAL | 91.7% | – |
Data as of 2026-10-25. Best configuration of each model; every score links to its source on the model pages.
What changed
- GPT-5.4 Pro: 1 score revision.
- Muse Spark: 1 new result (PRBench Legal).
- Muse Spark: 1 new result (SWE Atlas: Codebase QnA).
- GPT-5.4 Pro: BenchLeader Index 62.1 → 63.6.
- GPT-5.4 Pro: 1 new result (MultiNRC).
- Muse Spark: 2 new results (PRBench Legal, MultiNRC).
- GPT-5.4 Pro: BenchLeader Index 64.0 → 62.1.
- Muse Spark: 1 new result (PRBench Finance).
- Muse Spark: 1 new result (PRBench Finance).
- GPT-5.4 Pro: BenchLeader Index 63.4 → 64.0.
Related comparisons
- GPT-5.4 Pro vs Claude Opus 5.5
- GPT-5.4 Pro vs Gemini 4 Argon
- GPT-5.4 Pro vs Muse Wonder Full
- Muse Spark vs Claude Opus 5.5
- Muse Spark vs Gemini 4 Argon
- Muse Spark vs Muse Wonder Full
- Muse Spark vs Claude Fable 5.1
- GPT-5.3-Codex vs Muse Spark
Rankings: Best LLM overall · Best LLM for agents · Best cheap LLMs
GPT-5.4 Pro vs Muse Spark: questions
- Is GPT-5.4 Pro better than Muse Spark?
- GPT-5.4 Pro and Muse Spark are neck and neck on quality (63.3 vs 64.3, within the ±4.6 margin). The BenchLeader Index combines every independent quality benchmark; the two are within the margin of error as of 2026-10-25, so check the category scores for your use.
- Which is better for long documents?
- GPT-5.4 Pro accepts more context: 1,050,000 against 262,144 tokens for Muse Spark.
- Do independent benchmarks agree on GPT-5.4 Pro vs Muse Spark?
- Across the 6 benchmarks both have, GPT-5.4 Pro leads 3, Muse Spark leads 3.
- When was Muse Spark released?
- Muse Spark was released on 8 Apr 2026.