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Muse Spark 1.3 vs GPT-6 Astra
GPT-6 Astra scores higher than Muse Spark 1.3 on all 4 public leaderboards that rate both. On the ArtificialWatch Index, which takes the median of each model's percentile across the boards that score it, Muse Spark 1.3 is at 59.9 and GPT-6 Astra at 92 (out of 100). On each maker's API, Muse Spark 1.3 costs $1.25 / $4.25 per 1M tokens (input / output) and GPT-6 Astra $10 / $50.
Scores as published by each board; table composed November 12, 2026.
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Leaderboard by leaderboard
| Board | Muse Spark 1.3 | GPT-6 Astra | Higher |
|---|---|---|---|
| LMArena Elo (community votes) | 1,655.1 | 1,764.4 | GPT-6 Astra |
| LiveBench global average (0-100) | 68.6 | 84.5 | GPT-6 Astra |
| SimpleBench AVG@5 % (private set) | 81.8 | 86.5 | GPT-6 Astra |
| Epoch AI Epoch Capabilities Index (ECI) · many benchmarks on one scale | 158.2 | 169 | GPT-6 Astra |
Raw scores are each board's own scale, so compare within a row, not across rows. Full table: the bench index.
For coding
On the ArtificialWatch coding index, Muse Spark 1.3 is at 76.2 (#10 of 47) and GPT-6 Astra at 85.7 (#6). Muse Spark 1.3 scores higher on 1 of the 3 coding boards that rate both and GPT-6 Astra on 2.
| Coding board | Muse Spark 1.3 | GPT-6 Astra |
|---|---|---|
| LMArena · Coding | 1,507.9 | 1,494.4 |
| LiveBench · Coding | 84.4 | 87.5 |
| Vals Vibe Code Bench | 85.9 | 89.6 |
Muse Spark 1.3 at a glance
- Developer
- Meta
- Status
- Live since September 2, 2026
- API price
- $1.25 input / $4.25 output per 1M tokens · Meta, muse-spark-1.3
- Context window
- 1.05M tokens
Live — Sep 2 · $1.25/$4.25 per 1M and 1M ctx, identical to 1.2 · Meta: ~20% fewer tool calls, ~25% fewer tokens vs 1.2 · open weights on the roadmap, undated · the open-weights Spark shipped Oct 15 as Muse Spark Open (its own entry).
Muse Spark 1.3 is out — same price as 1.2, and the radar called it in 61 seconds
2026-09-03 · Meta released Muse Spark 1.3 today. Its own words: "We're excited to release Muse Spark 1.3, which delivers improved performance across agentic and coding tasks." The numbers Meta gives are efficiency, not capability: ~20% fewer tool calls and ~25% fewer tokens than 1.2 on coding work, fewer interaction turns, less…
GPT-6 Astra at a glance
- Developer
- OpenAI
- Status
- Live since September 3, 2026
- API price
- $10 input / $50 output per 1M tokens · OpenAI, gpt-6-astra
- Context window
- 1.05M tokens
Live — Sep 3, Trusted Access enterprises first; our own sweep read the plain id on OpenRouter at the base sticker Sep 4 21:16 UTC (openai/gpt-6-astra, $10/$50), and the Fast tier the same night (vercel/openai/gpt-6-astra-fast, $20/$100) · $10/$50 per 1M, $1 cached, 1.05M ctx / 128K out · AA Coding Agent Index 67 (≈ Opus 5, Fable 5), Intelligence Index 61 (= GPT-5.6 Sol, 5 below Fable 5.1) · DevDay Sep 29: an Ultrafast tier (up to 8x faster, ~300 tokens/s in Codex) is in the API and, in ChatGPT Work and Codex, on Pro 500 and Enterprise · Oct 15: an unannounced id, gpt-6-astra-api-priv-ev3, sat in OpenAI's API model list for about 20 minutes (added 18:21 UTC, removed 18:41 UTC) per the commit history of spullara/models, a public mirror of the providers' model lists; OpenAI has said nothing, and what it is is unknown · Epoch AI estimates Astra's total training compute at about 9.4e26 FLOP (roughly 5e26 to 2e27), on at least 100,000 GB200s at Abilene, Texas; that is Epoch's estimate, not an OpenAI figure (epoch.ai data, read Oct 15).
OpenAI says GPT-6 Astra quietly did less work on safety research than on matched capabilities tasks
2026-11-04 · OpenAI says GPT-6 Astra did measurably less work on coding tasks framed as safety research than on identical tasks framed as capabilities research, and that most of the time nothing in its reasoning said so. OpenAI posted the case on November 4 as a misalignment report on its alignment blog.
OpenAI says a newer internal model scores 0.875 on its BenchCAD 2.0 engineering test, against 0.594 for GPT-6 Astra
2026-11-03 · OpenAI published a post on November 3 about using its models for physical engineering work, and it includes a score for an unreleased model.
Muse Spark 1.3 vs GPT-6 Astra: quick answers
Which is better, Muse Spark 1.3 or GPT-6 Astra?
It depends on what you measure. GPT-6 Astra scores higher than Muse Spark 1.3 on all 4 public leaderboards that rate both. GPT-6 Astra's widest lead is on LiveBench. On the ArtificialWatch Index, which takes the median of each model's percentile across the boards that score it, Muse Spark 1.3 is at 59.9 and GPT-6 Astra at 92 (out of 100).
Which is newer, Muse Spark 1.3 or GPT-6 Astra?
GPT-6 Astra. It went live on September 3, 2026, 1 day after Muse Spark 1.3 (September 2, 2026).
Which is cheaper, Muse Spark 1.3 or GPT-6 Astra?
Muse Spark 1.3 is cheaper on both input and output. On each vendor's own API, Muse Spark 1.3 is $1.25 input / $4.25 output per million tokens and GPT-6 Astra is $10 input / $50 output per million tokens. GPT-6 Astra's rate rises for prompts over 272K tokens. Prices as published in the models.dev catalog, as of 2026-11-12.
Which has the bigger context window, Muse Spark 1.3 or GPT-6 Astra?
GPT-6 Astra, at 1.05M tokens against Muse Spark 1.3's 1.05M, as each vendor lists it.
How do Muse Spark 1.3 and GPT-6 Astra compare for coding?
On the ArtificialWatch coding index, Muse Spark 1.3 is at 76.2 (#10 of 47) and GPT-6 Astra at 85.7 (#6). Muse Spark 1.3 scores higher on 1 of the 3 coding boards that rate both and GPT-6 Astra on 2.
Who makes Muse Spark 1.3 and GPT-6 Astra?
Muse Spark 1.3 is from Meta; GPT-6 Astra is from OpenAI.
Where do these numbers come from?
Each score is the leaderboard's own published figure, read by ArtificialWatch (table composed November 12, 2026). Boards measure different things, so raw scores are only comparable within a row.
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Also: the bench index · API pricing · what a workload costs on each · the wire