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Model details

Muse Spark 1.2 Contributor

Muse Spark 1.2 Contributor is positioned as a coding-optimized variant within the broader Muse Spark 1.2 family, sharing the same underlying model and capabilities as the standard release while being offered at a substantially reduced price point. The contributor tier is framed as a builder-friendly option, with input and output traffic used to help train and improve Meta's broader AI models, reflecting a community-development posture rather than a fully isolated enterprise endpoint. Its multimodal intake spans text, images, video, PDFs, and audio, while outputs remain text, and the model ships with attachments, reasoning, tool calling, temperature control, and structured output enabled for application integration.

In benchmark comparisons against contemporary coding-oriented systems, Muse Spark 1.2 Contributor posts an intelligence index of 56.8 and a coding sub-score of 72.2, placing it close to higher-priced flagship entries on reasoning-heavy workloads while undercutting them dramatically on cost. The combination of a roughly 1.05M-token context window, tool-calling support, and an aggressively low blended price makes it a practical fit for long-context agent loops, repository-scale code analysis, and high-volume developer assistance where budget efficiency matters more than peak throughput. As part of the Muse Spark 1.2 generation released alongside the standard model, it represents the family's effort to bring competitive coding capability into more accessible, high-volume production use cases.

OpenCode Gomuse-spark-1.2-contributormuse

Quick Info

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Provider
OpenCode Go
Model key
muse-spark-1.2-contributor
Release date
Aug 5, 2026
Last updated
Aug 5, 2026
AI SDK package
@ai-sdk/openai
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.10
Output token cost
$0.20

Limits

Output tokens
131,072 tokens
Context window
1,048,576 tokens

Transparent token rates

Compare Muse Spark 1.2 Contributor pricing

Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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Latest news about Muse Spark 1.2 Contributor

OpenCode Go

Official sourceDocumentation

OpenCode Go's official documentation page lists "Muse Spark 1.2 Contributor (limited regions)" as one of the models available through its $10/month subscription, alongside the newer 1.3 Contributor variant and a wide roster of open coding models including GLM-5.x, Qwen3.x, DeepSeek V4, Kimi K-series, Grok 4.6, and othe Integration works like any other OpenCode provider: users subscribe via OpenCode Zen, copy the API key, run /connect in the TUI to select OpenCode Go, paste the key, and then use /models to view the available catalogue. The docs explicitly warn that "the list of models may change as we test and add new ones," and the p

OpenCode Go

Coverage

KOCPC's translated tech-press report covers Zuckerberg's August 5 personal unveiling of Meta's Muse Spark 1.2 and its paired Contributor pricing tier. Under the Contributor plan, which requires agreeing to let Meta use submitted data for model training, input costs $0.10 per million tokens and output $0.20, a rate the Beyond pricing, the report details the simultaneous beta launch of Muse Code, a terminal coding agent trained alongside Muse Spark 1.2 to handle complete software engineering tasks across large repositories including planning changes, writing code, and verifying results. According to Meta's official description cited i

OpenCode Go

Coverage

Meta released Muse Code (beta) on August 5, 2026 as a terminal coding agent for macOS and Linux, together with Muse Spark 1.2, the model that powers it. Per the supplied page excerpt, Muse Spark 1.2 and its harness were co-trained, meaning the model's behavior and the harness's goals, compaction, and subagent recipes w The same article frames the Muse Spark 1.2 Contributor tier within the broader pricing landscape, placing it in the same band as DeepSeek V4 Flash ($0.14/$0.28) and below GPT-5.6 Luna's post-cut $0.20/$1.20, and characterizes the data-for-discount trade as unusually explicit compared to peers who keep such terms implic

OpenCode Go

CoverageBenchmark

Ginger Labs published a detailed technical analysis of Meta's Muse Spark 1.2 Contributor API, explicitly naming the variant and grounding its claims in Zuckerberg's August 5 announcement and public Meta Model API material. The article frames the Contributor tier's defining trade-off: Meta reportedly discounts input to The piece extends beyond launch recap into production-readiness guidance for developers: it recommends treating Contributor as a controlled evaluation lane for broad experiments, long traces, and repeated coding runs on approved non-sensitive data, while keeping confidential production traffic on a standard tier until

OpenCode Go

CoverageBenchmark

This dedicated model-catalog entry covers Muse Spark 1.2 Contributor (identifier `meta/muse-spark-1.2-contributor`) and reports the Contributor tier pricing at $0.10 per million input tokens, $0.20 per million output tokens, and $0.002 per million cache-read tokens, alongside an agent-loop blended cost of $0.03 per mil The page also reports coding-specific numbers for the Contributor tier: a Coding Index of 72.2 (ranked 19 of 53 scored), a Terminal-Bench score of 80.1 (23 of 53), GPQA Diamond of 90.4, SciCode of 57.4, and long-context reasoning of 79, with one full agent task priced at roughly $0.0072 (180K input tokens at 75% cache

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