GPT-6 Astra vs Muse Spark Open 816B A42B
Full profiles: GPT-6 Astra (OpenAI) and Muse Spark Open 816B A42B (Meta): every benchmark, price and rank.
Updated · Data from 8 sources
As of 29 Oct 2026, GPT-6 Astra is ahead of Muse Spark Open 816B A42B on quality (68.2 vs 58.5 on the BenchLeader Index), but Muse Spark Open 816B A42B is 10× cheaper at $2.00 vs $20.00 per 1M tokens blended. Choose GPT-6 Astra for reasoning (86 vs 64), maths (78 vs 59), and coding (83 vs 66); choose Muse Spark Open 816B A42B for knowledge (62 vs 56).
Key facts (as of 29 Oct 2026)
- GPT-6 Astra scores 68.2 on the BenchLeader Index and Muse Spark Open 816B A42B scores 58.5 (BenchLeader, 29 Oct 2026).
- GPT-6 Astra costs $20.00 per 1M tokens blended (list price, 29 Oct 2026).
- Muse Spark Open 816B A42B costs $2.00 per 1M tokens blended (list price, 29 Oct 2026).
GPT-6 Astra benchmarks OpenAI
Muse Spark Open 816B A42B benchmarks xhigh MetaOpen in the comparison toolWhich 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 |
|---|---|---|---|
| Coding | GPT-6 Astra | 83 vs 66 category score | High |
| Maths | GPT-6 Astra | 78 vs 59 category score | High |
| Reasoning | GPT-6 Astra | 86 vs 64 category score | High |
| Knowledge | Muse Spark Open 816B A42B | 62 vs 56 category score | Medium |
| Lowest cost | Muse Spark Open 816B A42B | $2.00 vs $20.00 per 1M blended; agentic coding session $0.092 vs $0.800 | – |
| High volume on a budget | Neither flagship | A smaller model is usually the better fit: Cheapest good LLMs, Fastest LLMs | – |
Key differences
- GPT-6 Astra leads on quality: 68.2 vs 58.5.
- GPT-6 Astra is stronger in agents & tools, coding, composite, maths, reasoning.
- Muse Spark Open 816B A42B (xhigh) is stronger in knowledge.
- Muse Spark Open 816B A42B (xhigh) is 10× cheaper ($2.00 vs $20.00 per 1M blended).
At a glance
| Spec | GPT-6 Astra | Muse Spark Open 816B A42B |
|---|---|---|
| Developer | OpenAI | Meta |
| Released | 2 Sept 2026 | 15 Oct 2026 |
| Context window (tokens) | 1,050,000 | 1,048,576 |
| Compared at | GPT-6 Astra | Muse Spark Open 816B A42B (xhigh) |
| Open weights | No | Yes |
| Price in / out / cached input per 1M | $10.00 / $50.00 / $1.00 | $1.25 / $4.25 / $0.150 |
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-6 Astra | Muse Spark Open 816B A42B (xhigh) | Leader |
|---|---|---|---|
| Reasoning | 85.6 | 63.6 | GPT-6 Astra |
| Coding | 83.2 | 65.5 | GPT-6 Astra |
| Agents & tools | 69.6 | – | not comparable |
| Maths | 77.5 | 59.4 | GPT-6 Astra |
| Knowledge | 55.7 | 62.2 | Muse Spark Open 816B A42B |
| Composite | 73.7 | – | not comparable |
Where sources disagree
Across the 0 benchmarks both have, GPT-6 Astra leads 0, Muse Spark Open 816B A42B leads 0. Every overall index that rates both puts GPT-6 Astra ahead.
| Overall index | GPT-6 Astra | Muse Spark Open 816B A42B (xhigh) | Leader |
|---|---|---|---|
| BenchLeader Index | 68.2 | 58.5 | GPT-6 Astra |
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-6 Astra | Muse Spark Open 816B A42B (xhigh) |
|---|---|---|
| Blended price per 1M tokens | $20.00 | $2.00 |
| Input / output per 1M | $10.00 / $50.00 | $1.25 / $4.25 |
| Cached input per 1M | $1.00 | $0.150 |
| Price per task: chat reply | $0.019 | $0.0018 |
| Price per task: summarize a 30-page report | $0.150 | $0.018 |
| Price per task: code edit | $0.135 | $0.014 |
| Price per task: agentic coding session | $0.800 | $0.092 |
| Price per task: structured extraction | $0.030 | $0.0034 |
| Output speed | 40 tok/s | – |
| Time to first answer | 3.0 s | – |
Each model is compared at its best-ranked reasoning-effort setting. GPT-6 Astra scores 68.2 and takes 3 s to its first answer token; GPT-6 Astra (max) scores 67.7 in 232 s, GPT-6 Astra (high) scores 66.8 in 33 s. Muse Spark Open 816B A42B (xhigh) scores 58.5. 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
138 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-6 Astra | Muse Spark Open 816B A42B (xhigh) |
|---|---|---|---|
| BenchLeader Index | BenchLeader | 68.2 | 58.5 |
| Agents & tools score | BenchLeader | 69.6 | – |
| Coding score | BenchLeader | 83.2 | 65.5 |
| Composite score | BenchLeader | 73.7 | – |
| Knowledge score | BenchLeader | 55.7 | 62.2 |
| Maths score | BenchLeader | 77.5 | 59.4 |
| Reasoning score | BenchLeader | 85.6 | 63.6 |
| Blended price $/M | BenchLeader | $20.00 | $2.00 |
| Output speed | BenchLeader | 40 tok/s | – |
| Time to first answer | BenchLeader | 3.0 s | – |
| Context window | BenchLeader | 1,050,000 tokens | 1,048,576 tokens |
| Reasoning | |||
| GPQA Diamond | Epoch AI Benchmarking Hub | 95.8%† | 88.6% |
| Humanity's Last Exam | Scale AI / CAIS | 54.8% | – |
| Arena Hard Prompts | Arena (LMArena) | 1501† | – |
| LiveBench 2.0 Reasoning | LiveBench | 92.7% | – |
| LiveBench 1.0 Reasoning | LiveBench | 92.7%† | – |
| GPQA Diamond (AA) | Artificial Analysis | 96.1%† | – |
| Humanity's Last Exam (AA) | Artificial Analysis | 54.7%† | – |
| HLE-Diamond (AA) | Artificial Analysis | 63.8%† | – |
| ARC-AGI-1 | ARC Prize | 97.5%† | – |
| ARC-AGI-2 | ARC Prize | 95.0%† | – |
| ARC-AGI-3 | ARC Prize | 98.6%† | – |
| CritPt | Artificial Analysis | 31.7%† | – |
| CritPt v2 hard subset (AA) | Artificial Analysis | 70.5%† | – |
| MysteryMechanism | Vals AI | 53.1%† | – |
| Chess Puzzles | Epoch AI Benchmarking Hub | 74.0%† | – |
| Mystery Game Puzzles | Epoch AI Benchmarking Hub | 84.0%† | – |
| LMCA | Epoch AI Benchmarking Hub | 64.1% | – |
| DTBench | Epoch AI Benchmarking Hub | 97.1% | – |
| BTF-3 | Epoch AI Benchmarking Hub | 13.5%† | – |
| Coding | |||
| SciCode | SciCode | 56.5%† | 58.5% |
| WeirdML | WeirdML | 93.3%† | – |
| FrontierCode | Cognition | 53.3%† | – |
| GSO-Bench | GSO-Bench | 79.4% | – |
| Arena Coding | Arena (LMArena) | 1543† | – |
| Arena WebDev | Arena (LMArena) | 1774† | – |
Show all 138 benchmarks
| Metric | Publisher | GPT-6 Astra | Muse Spark Open 816B A42B (xhigh) |
|---|---|---|---|
| Coding | |||
| LiveBench 2.0 Coding | LiveBench | 93.7% | – |
| LiveBench 1.0 Coding | LiveBench | 80.4%† | – |
| SciCode (AA) | Artificial Analysis | 56.5%† | – |
| IOI | Vals AI | 100.0%† | – |
| Code Migration | Vals AI | 67.7%† | – |
| Code Migration v1.1 | Vals AI | 80.6%† | – |
| ProgramBench | Vals AI | 5.5%† | – |
| SWE-bench Multimodal | Vals AI | 43.3%† | – |
| Vibe Code Bench 1-100 | Vals AI | 27.6%† | – |
| Vibe Code Bench v1.1 | Vals AI | 89.6%† | – |
| SWE Atlas: Codebase QnA | Scale AI SEAL | 59.1%† | – |
| SWE Atlas: Refactoring | Scale AI SEAL | 59.0%† | – |
| SWE Atlas: Test Writing | Scale AI SEAL | 50.7%† | – |
| MirrorCode | Epoch AI Benchmarking Hub | 46.7%† | – |
| DeepSWE v1.1 | Epoch AI Benchmarking Hub | 73.2%† | – |
| ALE-Bench | Epoch AI Benchmarking Hub | 2951.3† | 1590.1 |
| FrontierSWE | Epoch AI Benchmarking Hub | 65.5%† | – |
| Terminal-Bench 4.0 (AA) | Artificial Analysis | 59.1%† | – |
| Terminal-Bench 2.1 (AA) | Artificial Analysis | 88.4%† | – |
| Startrise Frontend | Startrise | 79.9% | – |
| FrontierCode 1.1 (AA) | Artificial Analysis | 47.0%† | – |
| FrontierCode 2.0 (AA) | Artificial Analysis | 42.4%† | – |
| Agents & tools | |||
| Terminal-Bench | Terminal-Bench | 58.2%† | – |
| Remote Labor Index | Scale AI / CAIS | 20.8% | – |
| APEX-Agents | Mercor | 64.7% | 33.4%† |
| Arena Agent | Arena (LMArena) | 14† | – |
| LiveBench Long Agentic | LiveBench | 77.5% | – |
| LiveBench Browser | LiveBench | 91.3% | – |
| LiveBench Agentic Coding | LiveBench | 57.3%† | – |
| Terminal-Bench 2.1 (Vals) | Vals AI | 87.3%† | – |
| HiL-Bench | Scale AI SEAL | 65.3% | – |
| GDPval-AA v2.1, normalised score | Artificial Analysis | 53.7%† | – |
| GDPval-AA v2.1 | Artificial Analysis | 1584† | – |
| τ³-Banking (AA) | Artificial Analysis | 41.4%† | – |
| ITBench SRE (AA) | Artificial Analysis | 48.6%† | – |
| Analyst Agent (AA) | Artificial Analysis | 51.3%† | – |
| CUA-bench | Vals AI | 19.2%† | – |
| CyberBench | Vals AI | 41.1%† | – |
| Finance Agent v2 | Vals AI | 53.5%† | – |
| Finance Agent v2.1 | Vals AI | 60.4%† | – |
| Harvey's Legal Agent Benchmark v1.1 | Vals AI | 7.1%† | – |
| Harvey's Legal Agent Benchmark v1 | Vals AI | 5.4%† | – |
| Legal Research Bench | Vals AI | 39.4%† | – |
| Robo-bench | Vals AI | 23.3%† | – |
| SREBench | Vals AI | 56.9%† | – |
| Tax Agent Bench | Vals AI | 20.7%† | – |
| Terminal-Bench 4.0 (Vals) | Vals AI | 59.6%† | – |
| Terminal-Bench Science | Vals AI | 62.9%† | – |
| Time Horizon Index: KSP | Vals AI | 90.5%† | – |
| Arena Search | Arena (LMArena) | 1246† | – |
| BALROG | BALROG | 68.3%† | – |
| Vending-Bench 2 | Andon Labs | 15514.7 | – |
| AutomationBench | Artificial Analysis | 68.5%† | – |
| GDP.pdf (AA) | Artificial Analysis | 31.0%† | – |
| Harvey LAB-AA v1.1 | Harvey | 8.6%† | – |
| AA-Briefcase v1.1 | Artificial Analysis | 1568† | – |
| Terminal-Bench-Science 0.1 (AA) | Artificial Analysis | 63.3%† | – |
| CWE-Bench (AA) | Artificial Analysis | 63.3%† | – |
| DeepSec-Bench (AA) | Artificial Analysis | 36.9%† | – |
| CyberGym end-to-end (AA) | Artificial Analysis | 0.0%† | – |
| FACTS Search | 89.9% | – | |
| Maths | |||
| FrontierMath Tiers 1–3 | Epoch AI Benchmarking Hub | 93.7%† | 69.8% |
| FrontierMath Tier 4 | Epoch AI Benchmarking Hub | 97.6%† | 31.7% |
| OTIS Mock AIME | Epoch AI Benchmarking Hub | 100.0%† | 98.1% |
| ProofBench | Vals AI | 99.0% | – |
| LiveBench Mathematics | LiveBench | 96.8%† | – |
| Arena Maths | Arena (LMArena) | 1487† | – |
| Knowledge | |||
| SimpleQA Verified | Epoch AI Benchmarking Hub | 75.6%† | 56.6% |
| LiveBench 2.0 Data Analysis | LiveBench | 83.0% | – |
| LiveBench Research | LiveBench | 85.2% | – |
| LiveBench 1.0 Data Analysis | LiveBench | 83.0%† | – |
| AA-Omniscience v1.1 | Artificial Analysis | 42.4† | – |
| PRBench Finance | Scale AI SEAL | 47.5% | – |
| PRBench Legal | Scale AI SEAL | 48.4% | – |
| BioMysteryBench | Vals AI | 79.3%† | – |
| Excel Modeling Benchmark | Vals AI | 71.7%† | – |
| Excel Modeling Benchmark v1.1 | Vals AI | 72.7%† | – |
| MedCode | Vals AI | 48.5%† | – |
| MedScribe | Vals AI | 87.9%† | – |
| DrugDiscoveryBench | Scale AI SEAL | 68.7%† | – |
| EBR-bench | Epoch AI Benchmarking Hub | 76.2%† | – |
| GDP.pdf | Epoch AI Benchmarking Hub | 34.2%† | – |
| AA-Omniscience v1.1: accuracy | Artificial Analysis | 61.6%† | – |
| AA-Omniscience v1.1: non-hallucination | Artificial Analysis | 50.2%† | – |
| HealthBench Professional (AA) | OpenAI | 66.0%† | – |
| Instruction following | |||
| LiveBench Language | LiveBench | 89.4%† | – |
| LiveBench Instruction Following | LiveBench | 75.6%† | – |
| Arena Instruction Following | Arena (LMArena) | 1473† | – |
| Human preference | |||
| Arena Text | Arena (LMArena) | 1477† | – |
| Arena Creative Writing | Arena (LMArena) | 1450† | – |
| Arena Multi-turn | Arena (LMArena) | 1485† | – |
| Arena Longer Queries | Arena (LMArena) | 1489† | – |
| Multimodal | |||
| Arena Vision | Arena (LMArena) | 1280† | – |
| LiveBench Design | LiveBench | 82.0% | – |
| MMMU-Pro | Artificial Analysis | 86.9%† | – |
| Blueprint-Bench 2 | Epoch AI Benchmarking Hub | 49.7% | – |
| Code2Video-AA | Artificial Analysis | 1427† | – |
| AA-3D | Artificial Analysis | 1164† | – |
| Long context | |||
| AA-LCR v1.1 | Artificial Analysis | 80.7%† | – |
| Arena Document | Arena (LMArena) | 1473† | – |
| MLCR | Artificial Analysis | 41.7%† | – |
| Composite | |||
| Epoch Capabilities Index | Epoch AI Benchmarking Hub | 168.8 | – |
| LiveBench 2.0 | LiveBench | 85.6% | – |
| LiveBench 1.0 | LiveBench | 82.2%† | – |
| AA Intelligence Index v5.0 | Artificial Analysis | 56.9† | – |
| AA Intelligence Index v4.3.2 | Artificial Analysis | 52.7† | – |
| AA Progress Index v1 | Artificial Analysis | 349.6† | – |
| Vals Index | Vals AI | 65.0† | – |
| Vals Finance Index | Vals AI | 55.6%† | – |
| Vals RSI Index | Vals AI | 27.1%† | – |
| Vals Science Index | Vals AI | 65.1%† | – |
| Vals Router Index | Vals AI | 65.0% | – |
| AA Cyber Index | Artificial Analysis | 33.4† | – |
Data as of 2026-10-29. Best configuration of each model; every score links to its source on the model pages.
What changed
- GPT-6 Astra: 3 score revisions.
- GPT-6 Astra: 1 new result (Vals Router Index).
- GPT-6 Astra: 1 score revision.
- Muse Spark Open 816B A42B (xhigh): BenchLeader Index 57.4 → 58.6.
- GPT-6 Astra: 8 new results (LiveBench 2.0, LiveBench Long Agentic, LiveBench 2.0 Reasoning…).
- Muse Spark Open 816B A42B (xhigh): 2 new results (SciCode, ALE-Bench).
- Muse Spark Open 816B A42B (xhigh): first results.
- GPT-6 Astra: 1 new result (Startrise Frontend).
- GPT-6 Astra: BenchLeader Index 68.9 → 68.0.
- GPT-6 Astra: BenchLeader Index 67.3 → 68.9.
Related comparisons
- GPT-6 Astra vs Claude Opus 5.5
- GPT-6 Astra vs GPT-6.1 Sol
- GPT-6 Astra vs Claude Fable 5.1
- Muse Spark Open 816B A42B vs Claude Opus 5.5
- Muse Spark Open 816B A42B vs GPT-6.1 Sol
- Muse Spark Open 816B A42B vs Claude Fable 5.1
- GPT-5.6 Sol vs Muse Spark Open 816B A42B
- GPT-6 Astra vs Muse Wonder
Rankings: Best LLM overall · Best LLM for agents · Best cheap LLMs
GPT-6 Astra vs Muse Spark Open 816B A42B: questions
- Is GPT-6 Astra better than Muse Spark Open 816B A42B?
- GPT-6 Astra leads on quality: 68.2 vs 58.5. The BenchLeader Index combines every independent quality benchmark; GPT-6 Astra is ahead overall as of 29 Oct 2026, but check the category scores for your use.
- GPT-6 Astra vs Muse Spark Open 816B A42B: which is cheaper, and will that change?
- Muse Spark Open 816B A42B is cheaper today: $2.00 against $20.00 per million tokens, blended at three input tokens per output token. No price change has been announced for either.
- Is GPT-6 Astra or Muse Spark Open 816B A42B better for coding?
- GPT-6 Astra scores higher in coding (83 vs 66 on the category index, where 50 is average).
- Which is better for long documents?
- Both take about 1.1M tokens: GPT-6 Astra 1,050,000, Muse Spark Open 816B A42B 1,048,576.
- When was Muse Spark Open 816B A42B released?
- Muse Spark Open 816B A42B was released on 15 Oct 2026.