ModelsMuse Spark 1.2 Contributor: Cheap Tokens, Paid For With Data
The contributor tier is Muse Spark 1.2 at a fraction of the price, in exchange for letting Meta train on your traffic. The maths, the unwritten terms and where it fits.
ReadNotes on models, agents, and what inference costs
Practical writing for developers building with large language models — how they work, how to pick one, and how to keep the bill predictable.
Picking between models — and testing them on your own work.
ModelsModelsMuse Spark 1.2 Guide: Meta's Coding Checkpoint and Its Harness
Muse Spark 1.2 was trained alongside Muse Code, Meta's terminal agent. What that co-training means for its coding numbers, and how to test it in your own harness.
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ModelsMuse Spark 1.3 Contributor: A Prototyping Tier, Not a Production One
Muse Spark 1.3 Contributor is Meta's newest model at contributor prices, minus max effort on the API. What it suits, what you give up, and how to graduate off it.
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ModelsMuse Spark 1.3 Guide: Fewer Tool Calls at the Same Price
Muse Spark 1.3 kept 1.2's price and claims a quarter fewer tokens per task. What changed, how to read its max-effort scores, and how to check the efficiency claim.
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ModelsMythoMax L2 13B: Why a 2023 Roleplay Merge Is Still Listed
MythoMax is a Llama 2 13B merge built for roleplay and storywriting. What the merge is, the prompt format it expects, its 4K limit, and what to run instead.
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ModelsNano Banana 2 (Gemini 3.1 Flash Image): Resolution, Cost, Fit
Gemini 3.1 Flash Image adds 4K output and image search grounding at a mid-tier price. How resolution drives cost, where it sits between Lite and Pro, and what replaced it.
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ModelsNano Banana 2 Lite Guide: Speed, 1K Output and Cost at Volume
Gemini 3.1 Flash Lite Image trades resolution for speed: 1K only, a sub-2-second target and about $0.034 an image. Where that trade pays and where it does not.
ReadModelsNano Banana Pro Guide: What Gemini 3 Pro Image Really Costs
Gemini 3 Pro Image bills per output image, not per word. What Nano Banana Pro does well, what a 4K render costs, and when a cheaper Flash image model is enough.
ReadModelsNemotron 3 Nano 30B A3B: The Hybrid Mamba Model Behind a Family
NVIDIA's December 2025 small MoE mixes Mamba-2, experts and a few attention layers. How that design behaves, what its benchmarks show, and whether it still earns a slot.
ReadModelsNemotron 3 Nano Omni: One Small Model for Video, Audio and Screens
NVIDIA built Nano Omni as the perception sub-agent for agent systems: images, video, audio and screenshots in, text out. Its input limits, benchmarks and hardware needs.
ReadModelsNemotron 3 Super Guide: 120B Total, 12B Active, 1M That Holds
NVIDIA's mid-sized hybrid MoE keeps its accuracy deep into a 1M-token context. How it compares with Qwen3.5-122B and gpt-oss-120b, and what it takes to run.
ReadModelsNemotron 3 Ultra: What NVIDIA's 550B Open Model Is For
NVIDIA's 550B-total, 55B-active hybrid Mamba MoE ships with open data and recipes. Where it is strong, where its scores lag, and what self-hosting it takes.
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