Compare / head-to-head
GPT-6 Astravs
Muse Spark 1.3
GPT-6 Astra and Muse Spark 1.3 do not yet share a public benchmark, so quality cannot be compared apples-to-apples. Muse Spark 1.3 is 10.9x cheaper per token. GPT-6 Astra has the larger context window (1.1M tokens).
Benchmarks from cited public sources; pricing from official pages; status from official provider feeds.
Shared benchmarks
0
no overlap yet
Cheaper per token
Muse Spark 1.3
10.9x cheaper, input + output
Larger context
GPT-6 Astra
1.1M tokens
Providers
2 providers
OpenAI · Meta
GPT-6 Astra
OpenAI · released 2026-09-03
textvision
Muse Spark 1.3
Meta · released 2026-09-02
textvisionvideo
Quality
Benchmark matrix
0 shared · 7 only GPT-6 Astra · 10 only Muse Spark 1.3| Benchmark | GPT-6 Astra | Muse Spark 1.3 | Δ | Edge |
|---|---|---|---|---|
| Reported by both · 0 | ||||
| No public benchmark is reported for both models yet. | ||||
| Only GPT-6 Astra reports · 7 | ||||
| GPQA Diamond | 96% ↗ | not reported | — | — |
| AutomationBench 1.0.6 | 41.4% ↗ | not reported | — | — |
| FrontierMath Tier 4 v2 (Epoch AI run) | 97.6% ↗epoch | not reported | — | — |
| FrontierMath Tiers 1-3 v2 (Epoch AI run) | 93.7% ↗epoch | not reported | — | — |
| OTIS Mock AIME 2024-2025 (Epoch AI run) | 100% ↗epoch | not reported | — | — |
| SimpleQA Verified | 75.6% ↗epoch | not reported | — | — |
| Terminal-Bench Science 0.1 | 64.6% ↗ | not reported | — | — |
| Only Muse Spark 1.3 reports · 10 | ||||
| AutomationBench | not reported | 49.6% ↗ | — | — |
| DeepSearchQA | not reported | 90.3% ↗ | — | — |
| DeepSWE v1.1 | not reported | 75.4% ↗ | — | — |
| GDPval-AA v2 | not reported | 1754 ↗ | — | — |
| JobBench | not reported | 64.9% ↗ | — | — |
| MRCR 256K-512K | not reported | 98.5% ↗ | — | — |
| MRCR 512K-1M | not reported | 98.1% ↗ | — | — |
| OSWorld 2.0 (partial) | not reported | 66.9% ↗ | — | — |
| SWE-Atlas Codebase QnA | not reported | 59.4% ↗ | — | — |
| Terminal-Bench 2.1 | not reported | 88.8% ↗ | — | — |
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-6 Astra minus Muse Spark 1.3 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
Official pricing pages and model cards| Spec | GPT-6 Astra | Muse Spark 1.3 | Edge |
|---|---|---|---|
| Context window | 1.1M tokens | 1.0M tokens | GPT-6 Astra |
| Max output | 128K tokens | — | — |
| Input price / 1M | $10 ↗ | $1.25 ↗ | Muse Spark 1.3 |
| Output price / 1M | $50 ↗ | $4.25 ↗ | Muse Spark 1.3 |
| Cached input / 1M | $1 ↗ | $0.15 ↗ | Muse Spark 1.3 |
| Input + output / 1M Lower is cheaper. List prices; batch, tool and regional fees excluded. | $60 | $5.5 | Muse Spark 1.3 |
| Modalities | text · vision | text · vision · video | Muse Spark 1.3 |
| Released | 2026-09-03 | 2026-09-02 | — |
| Cited benchmark scores | 8 | 10 | — |
Reliability
Provider status
Live from /statusMore matchups
GPT-6 Astra vs …
Models sharing the most benchmarksMore matchups
Muse Spark 1.3 vs …
Models sharing the most benchmarksBuilt by Respan
Which one wins on your data?
Public benchmarks are a starting point. Run GPT-6 Astra and Muse Spark 1.3 on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.