Best-value multimodal agentic model — GPT-5.5-tier smarts, video/audio/PDF in.
89
Coding
88
Writing
90
Research
90
Images
72
Value
90
Long Context
Published benchmarks
77.4%
SWE-bench
Use this when
Agentic tool-use and multimodal reasoning at aggressive pricing
Skip this if
You need frontier-ceiling reasoning or a mature developer ecosystem — Opus 5 and GPT-5.6 lead both.
Pricing
$1.25/1M in
$4.25/1M out
→0%since Aug 2026
Context
1.0M tokens
Speed
Balanced
v1.0 launched April 8, 2026 alongside Llama 5; v1.1 (July 9) opened the paid API; v1.2 (Aug 5) is coding-focused and powers Muse Code. Built with 'over an order of magnitude less' pretraining compute than Llama 4 Maverick. Cache hits $0.15/1M.
Muse Spark 1.2 scores 80% on Terminal-Bench 2.1 and ranks #5 overall on GDPval-AA v2 (Elo 1631), ahead of Claude Opus 4.8 on agentic tasks
Natively multimodal in: text, image, video, audio, and PDF — broader input support than most rivals
$1.25/$4.25 per 1M tokens — among the most cost-efficient models at its intelligence level (~$0.40/task)
Weaknesses
Trails the frontier on raw intelligence: AA Intelligence Index 54 vs Claude Opus 5 (61) and GPT-5.6 Sol (59)
Weak on some hard agentic evals (27% tau3-Banking) and the API ecosystem is young — public API only since July 2026
Real-world use cases
What people actually use Muse Spark for.
Agentic productivity work — powers Meta AI's email/calendar/slides agents since v1.1
Terminal coding via the new Muse Code agent (v1.2 is coding-focused, 80% Terminal-Bench 2.1)
Health and science reasoning — Contemplating mode hit 58% on Humanity's Last Exam
How Muse Spark compares
The nearest models people weigh against it, and what actually separates them.
vs GPT-6 Astra — Against GPT-6 Astra (OpenAI), Muse Spark runs about 91% cheaper per token, gives up 1x on context and answers faster. Take Muse Spark unless you specifically need what GPT-6 Astra does better.
vs Claude Fable 5.1 — Against Claude Fable 5.1 (Anthropic), Muse Spark runs about 91% cheaper per token, takes 1x the context and answers faster. Take Muse Spark unless you specifically need what Claude Fable 5.1 does better.
vs Claude Fable 5 — Against Claude Fable 5 (Anthropic), Muse Spark runs about 91% cheaper per token, takes 1x the context and answers faster. Take Muse Spark unless you specifically need what Claude Fable 5 does better.
Price History
Muse Spark pricing over time
→0% since Aug 7
25 data points · tracked daily since Aug 7, 2026
Ready to try it?
Start using Muse Spark
Agentic tool-use and multimodal reasoning at aggressive pricing. Start free — no card required.
OpenAI's September 3, 2026 frontier release — the first GPT-6 model and OpenAI's answer to Claude Fable 5.1 two days earlier. State of the art on computer use (OSWorld 2.0 72.6% in ~47% less time than GPT-5.6 Sol), agentic coding (Terminal-Bench 4.0 57.9%), and frontier math (FrontierMath Tier 4 97.6%). $10/$50 per 1M tokens, 1.05M context, 128K output, knowledge cutoff April 30, 2026.
Verdict
OpenAI's frontier answer to Fable 5.1 — computer-use and agentic-coding leader at $10/$50.
Quality score
99%
Pricing
$10.00/1M in
$50.00/1M out
Speed
Deliberate
2/5 speed
Context
1.1M tokens
Released September 3, 2026. API ID gpt-6-astra; rolling out over the coming days to ChatGPT Plus, Pro, Business and Enterprise (usage inside existing allowances; GPT-6 Astra Pro for Pro/Business/Enterprise; Enterprise off by default), the OpenAI API, Microsoft Azure and Amazon Bedrock. Standard API pricing $10/$50 per 1M tokens; Fast mode is up to 2x speed at 2x price; cache reads and writes have separate rates. Model docs list 1,050,000 context, 128,000 max output, knowledge cutoff April 30, 2026, reasoning efforts up to 'max'. Published launch numbers (Astra / GPT-5.6 Sol / Fable 5.1 / Opus 5): OSWorld 2.0 72.6 / 65.7 / — / 70.2; Terminal-Bench 4.0 57.9 / 37.3 / 55.8 / 52.3; Terminal-Bench Science 0.1 64.6 / 22.4 / 52.6 / 30.0; FrontierMath Tier 4 v2 97.6 / 83.0 / 87.8 / 73.2; GPQA Diamond 96.0 / 94.6 / 93.7 / 93.7; Humanity's Last Exam w/ tools 57.2 / — / 65.0 / 63.6; AutomationBench 41.4 / 18.1 / 31.4 / 26.9; DeepSWE v1.1 74.1 / 72.7 / 67.4 / 73.7; ARC-AGI-2 95.0 / 92.5 / 90.0 / 90.4; ARC-AGI-3 99.9 (OpenAI responses-API harness; ARC Prize's stateless runs score far lower) / 7.8 / — / 30.2; ExploitBench 100.0 / 78.5 / — / 70; SRE-Bench 88.0 / 55.9; Artificial Analysis Intelligence Index v4.1.1 61.2 / 60.9 / 65.7 / 63.1. Meets the Critical threshold for cybersecurity under OpenAI's Preparedness Framework; advanced cyber workflows gated behind OpenAI Daybreak. All figures from OpenAI's launch post and model docs, verified September 4, 2026.
Computer use leaderFrontierAgenticReasoningLong contextPremiumNew
Best for
Computer and browser use, long-horizon agentic coding, and frontier math and science work
Anthropic's September 1, 2026 frontier release and the new capability ceiling for coding, agents, and scientific work. Base pricing is unchanged at $10/$50, but cache reads dropped 75% to $0.25/1M — roughly 25% cheaper on typical workloads and up to 45% cheaper on agentic ones. 1M context, 128K output, adaptive thinking always on.
Verdict
New frontier leader — better than Fable 5 on every published benchmark, and cheaper to run.
Quality score
98%
Pricing
$10.00/1M in
$50.00/1M out
Speed
Deliberate
2/5 speed
Context
1M tokens
Released September 1, 2026 alongside Claude Mythos 5.1, the first update to the Mythos-class line since Fable 5 on June 9. API ID claude-fable-5-1; generally available on the Claude API, Amazon Bedrock, Google Cloud, and Microsoft Foundry. Published launch numbers (Fable 5.1 / Fable 5 / Opus 5 / GPT-5.6 Sol): Terminal-Bench-Science 0.1 52.6 / 24.7 / 29.0 / 22.4; Terminal-Bench 4.0 55.8 / 42.0 / 52.3 / 37.3; CursorBench 3.2.0 73.4 / 70.5 / 70.0 / 67.2; AutomationBench 31.4 / 17.1 / 26.9 / 19.6; OSWorld 2.0 strict 41.7 / 36.1 / 39.6; Humanity's Last Exam (no tools) 60.9 / 57.8 / 56.6; GDPval-AA v2 1853 / 1723 / 1824 / 1711. GDPval-AA v2 is rescaled from the v1 numbers quoted on the Fable 5 page and is not directly comparable to them.
Anthropic's new Mythos-class flagship and the most capable coding model anyone can use — 80.3% SWE-Bench Pro, an 11-point jump over Opus 4.8. 1M context, 128K output, native parallel subagents. Released June 9, 2026.
Verdict
Superseded by Fable 5.1 — still 80.3% SWE-Bench Pro, but 5.1 is better and cheaper to run.
Quality score
98%
Pricing
$10.00/1M in
$50.00/1M out
Speed
Deliberate
2/5 speed
Context
1M tokens
Launched June 9, 2026 as the public, Mythos-class release. Available on the Claude API, Microsoft Foundry, and Google Vertex AI. Free for all users until June 22, 2026. Same underlying model as Claude Mythos 5, with safeguards that block specific high-risk cyber responses. Superseded by Claude Fable 5.1 on September 1, 2026 — same $10/$50 base pricing, cache reads cut from $1.00 to $0.25 per 1M tokens.
SWE-Bench Pro 80.3%Mythos-classParallel subagentsAgenticLong contextPremiumSuperseded
Best for
The hardest coding tasks, autonomous multi-step agents, and frontier-grade reasoning
Pricing moves, ranking shifts, and capability updates.
New ModelApr 8, 2026
Llama 5 released — enters the ranked catalog once a verified hosted price is live
Meta released Llama 5 on April 8, 2026: fully open weights, ~600B parameters, a 5M-token context window (the largest of any 2026 frontier release), and a Recursive Self-Improvement capability that lets it re-check its own reasoning mid-task. Hosted API deployments (Together AI, Fireworks, Groq, Bedrock) were announced but no major host had published verified per-token Llama 5 pricing as of August 6, 2026 — so, per our no-guessed-numbers policy, Llama 5 is tracked here and joins the ranked catalog when a real price lands. Meta's closed sibling Muse Spark, which does have verified pricing, has a full model page.
Muse Spark costs $1.25 per million input tokens and $4.25 per million output tokens on the API. A month of 10M input and 2M output tokens runs about $21.00 at list price, before any batch or caching discounts.
What is Muse Spark best for?
Muse Spark is best for agentic tool-use and multimodal reasoning at aggressive pricing. It is a strong fit when that workflow matters more than the tradeoffs around balanced pricing and balanced speed.
When should I avoid Muse Spark?
You need frontier-ceiling reasoning or a mature developer ecosystem — Opus 5 and GPT-5.6 lead both.
What is a cheaper alternative to Muse Spark?
GPT-5.6 Terra (OpenAI) at $2.00/1M/1M input against Muse Spark's $1.25/1M/1M. Best OpenAI value — near-flagship capability at 60% off. Compare it first if Muse Spark's pricing is the thing stopping you.
What is a faster alternative to Muse Spark?
GPT-6 Astra — deliberate against Muse Spark's balanced, with 1.1M tokens of context. Worth the swap when response time is what your users notice rather than the last few points of reasoning depth.
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