Released September 2, 2026. Gateway id meta/muse-spark-1.3. $1.25/$4.25 per 1M. 1,048,576 context and max output; text, image and PDF input. No benchmark table published for this point release. Verified October 10, 2026.
Meta describes higher first-attempt accuracy and more reliable tool calling than Muse Spark
Weaknesses
Meta published no standard benchmark table we could verify for this update
Free in the Meta AI app, but API access runs through third-party hosts
Real-world use cases
What people actually use Muse Spark 1.3 for.
Coding agents where fewer unnecessary turns cut the real cost
Reading long documents, images and video in one context
Developer tooling that relies on dependable tool calls
How Muse Spark 1.3 compares
The nearest models people weigh against it, and what actually separates them.
vs Gemini 3.8 Flash — Against Gemini 3.8 Flash (Google), Muse Spark 1.3 costs about 18% more per token, takes 1x the context and answers slower. Gemini 3.8 Flash is the one to check first if the price difference matters more than the ceiling.
vs GPT-6 Astra — Against GPT-6 Astra (OpenAI), Muse Spark 1.3 runs about 91% cheaper per token, gives up 1x on context and answers faster. Take Muse Spark 1.3 unless you specifically need what GPT-6 Astra does better.
vs Claude Fable 5.1 — Against Claude Fable 5.1 (Anthropic), Muse Spark 1.3 runs about 91% cheaper per token, takes 1x the context and answers faster. Take Muse Spark 1.3 unless you specifically need what Claude Fable 5.1 does better.
Ready to try it?
Start using Muse Spark 1.3
Coding agents and multimodal workflows that need few turns and clean output. Start free — no card required.
Google's September 2, 2026 Flash model, positioned as the agentic workhorse of the Gemini 3 family — stronger coding and terminal work than 3.7 Flash at the same $0.75/$3.75 price.
Verdict
Google's fast agentic workhorse — strong coding at Flash pricing.
Quality score
90%
Pricing
$0.75/1M in
$3.75/1M out
Speed
Very fast
5/5 speed
Context
1M tokens
Released September 2, 2026, Google's third Flash release in about six weeks (3.6 Flash July 21, 3.7 Flash August 13). Gateway id google/gemini-3.8-flash. $0.75/$3.75 per 1M; Flex $0.375/$1.875. 1,000,000 context, 65,535 max output; text, image, PDF and video input. Google launch figures: Terminal-Bench 2.1 90.8 (3.7 Flash 81.6); HLE-Verified 54.9. A Gemini 3.8 Flash Cyber variant is restricted to governments and vetted partners. Verified October 10, 2026.
FastAgenticMultimodalVideo inputValueNew
Best for
Fast, low-cost agentic coding and multimodal work, including video input
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
98%
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
Anthropic's highest-ceiling model — strongest on open-ended research; Opus 5.5 now leads coding.
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.
Pricing moves, ranking shifts, and capability updates.
New ModelSep 2, 2026
Muse Spark 1.3 released — same price, better tool calling
Meta released Muse Spark 1.3 on September 2, 2026 at the original Muse Spark's $1.25/$4.25 per million tokens. Meta describes higher first-attempt accuracy, more reliable tool calling and native understanding of video, images and documents across a 1M-token context. Meta published no standard benchmark table for this point release, so we have not changed its ranking against other providers' models. Verified October 10, 2026.
Muse Spark 1.3 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 the context window of Muse Spark 1.3?
Muse Spark 1.3 has a 1.0M tokens context window, with up to 1.0M tokens of output per response. That is the total of prompt plus response the model can hold in one request.
What is Muse Spark 1.3 best for?
Muse Spark 1.3 is best for coding agents and multimodal workflows that need few turns and clean output. 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 1.3?
You need published benchmark evidence before choosing a model.
What is a cheaper alternative to Muse Spark 1.3?
Gemini 3.8 Flash (Google) at $0.75/1M/1M input against Muse Spark 1.3's $1.25/1M/1M — roughly 18% less per token all in. Google's fast agentic workhorse — strong coding at Flash pricing. Compare it first if Muse Spark 1.3's pricing is the thing stopping you.
What is a faster alternative to Muse Spark 1.3?
GPT-6 Astra — deliberate against Muse Spark 1.3'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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