How do their prices compare?

As of August 2026: Muse Spark 1.2 is $1.25/$4.25 per MTok (Contributor tier $0.10/$0.20), GPT-5.6 Sol is $5/$30 per MTok, and Qwen3.8 Max is a 2.4T-parameter open-weight model whose weights release around August 12 — self-hostable for compute cost only, or cheap via API.

Is Qwen3.8 Max open-weight?

Yes. Qwen3.8 Max is a 2.4-trillion-parameter Mixture-of-Experts model from Alibaba (released August 3, 2026) that activates ~95B parameters per query, with weights scheduled for open release around August 12, 2026 — making it the most capable open-weight option of the three.

Quick Answer

Qwen3.8 Max vs Muse Spark 1.2 vs GPT-5.6 Sol (Aug 2026)

Q: Which is best for coding: Qwen3.8 Max, Muse Spark 1.2, or GPT-5.6 Sol?

GPT-5.6 Sol leads on terminal-agent tasks (88.8 on TerminalBench-2.1) and is the strongest all-rounder. Qwen3.8 Max leads on agentic computer use (86.1 OSWorld) and research reproduction (93.0 PaperBench), and its weights go open around Aug 12, 2026. Muse Spark 1.2 is the value pick — mid-pack benchmarks but the cheapest, especially on Meta's $0.10/$0.20 Contributor tier.

Published: August 9, 2026

The Short Answer

For coding and agents in August 2026: GPT-5.6 Sol is the strongest all-rounder (best terminal-agent scores), Qwen3.8 Max leads on agentic computer use and research tasks and goes open-weight ~Aug 12, and Muse Spark 1.2 is the cheapest — mid-pack quality but unbeatable on price via Meta’s Contributor tier.

Head-to-Head

	Qwen3.8 Max	Muse Spark 1.2	GPT-5.6 Sol
Vendor	Alibaba	Meta	OpenAI
Released	Aug 3, 2026	Aug 5, 2026	Jul 9, 2026
Params	2.4T MoE (~95B active)	Undisclosed	Undisclosed
Context	1M tokens	1M tokens	1.05M tokens
Open weight?	✅ ~Aug 12, 2026	❌	❌
API price	Low / self-host	$1.25 / $4.25 (Contributor $0.10/$0.20)	$5 / $30
TerminalBench-2.1	86.6	mid-pack	88.8
OSWorld (computer use)	86.1	—	83.2
PaperBench (research)	93.0	—	90.5

GPT-5.6 Sol — Best All-Rounder

Sol is OpenAI’s flagship (the top of the Luna/Terra/Sol tier), with a 1.05M-token context and the best TerminalBench-2.1 score (88.8). It’s the safest pick for terminal-heavy coding agents — but it’s the priciest at $5/$30 per MTok.

Qwen3.8 Max — Best Open-Weight

Alibaba’s 2.4-trillion-parameter MoE (~95B active per query) leads on agentic computer use (86.1 OSWorld-Verified) and research reproduction (93.0 PaperBench), and is natively multimodal. Its weights open around August 12, 2026 — the only self-hostable frontier option here. Downside: it was among the slowest models tested.

Muse Spark 1.2 — Best Value

Meta’s coding model is mid-pack on benchmarks but wins on cost: $1.25/$4.25 standard, or $0.10/$0.20 on the Contributor tier (Meta trains on your data). It pairs with Muse Code, Meta’s new terminal agent. Best when budget beats peak quality and your code isn’t sensitive.

Which Should You Pick?

Best coding quality, terminal agents → GPT-5.6 Sol.
Self-hosting / data sovereignty / research → Qwen3.8 Max.
Lowest cost → Muse Spark 1.2 (Contributor tier for non-sensitive work).

Sources

DataCamp — Qwen3.8 Max: datacamp.com
OpenRouter — Muse Spark 1.2: openrouter.ai
OpenAI — Previewing GPT-5.6 Sol: openai.com