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Fireworks AI offers GLM 5.1 with 200K context for agentic coding

By PulseAugur Editorial · [1 sources] ·

Fireworks AI is now offering GLM 5.1 through its training platform. This model supports both managed and training API workflows, allowing users to fine-tune with custom loss functions or smart defaults. GLM 5.1 features a 200K context window, making it suitable for long-horizon agentic coding tasks. AI

IMPACT Enables fine-tuning of long-context models for agentic coding tasks.

RANK_REASON Release of a model with specific capabilities (200K context window) for fine-tuning, offered via a platform.

Read on X — Fireworks (inference infra) →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Fireworks AI offers GLM 5.1 with 200K context for agentic coding

How we ranked this

Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Research
Release of a model with specific capabilities (200K context window) for fine-tuning, offered via a platform.
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
model release, infra
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
151 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

Full methodology in our editorial standards.

COVERAGE [1]

  1. X — Fireworks (inference infra) TIER_1 English(EN) · FireworksAI_HQ ·

    GLM 5.1 from @Zai_org is now available on @FireworksAI_HQ Training Platform across the Managed and Training API workflows.

    GLM 5.1 from @Zai_org is now available on @FireworksAI_HQ Training Platform across the Managed and Training API workflows. Try SFT and DPO with smart defaults or your own custom loss function with a 200K context window, perfect for long-horizon agentic coding fine-tunes. RL

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