Fireworks AI (@FireworksAI_HQ)
@FireworksAI_HQ
From Inference to Intelligence
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GLM-5.2 has been the most popular new model on Fireworks this past week.
@ArtificialAnlys confirms why: #3# overall on GDPval-AA (1524 Elo), #1# open weights by 116 points.
Interest is showing no signs of slowing.
Try it on Fireworks today →
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GLM-5.2 leads open weights models and sits at #3# overall on GDPval-AA, a real-world agentic work benchmark
GLM-5.2 from @Zai_org scores 1524 Elo on GDPval-AA, which measures performance on real-world, economically valuable knowledge work through long-horizon, multi-turn tasks.
Key takeaways:
➤ #3# overall, behind only Claude Fable 5 (1783) and Claude Opus 4.8 (1615), and level with GPT-5.5 (xhigh, 1509)
➤ The leading open weights model by a wide margin: the next open model, MiniMax-M3, scores 1408
➤ Ahead of many proprietary models, including Google's Gemini 3.5 Flash (1357), Qwen 3.7 Max (1289), Muse Spark (1158)
➤ The tasks are agentic. GLM-5.2 averaged ~31 turns per task across 1,999 matches
➤ Consistent with the rest of its launch, GLM-5.2 also leads open weights on the Artificial Analysis Intelligence Index, ranks #3# on the Agentic Index, and #3# on AA-Briefcase
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You can always choose to make your own frontier.
Jensen Huang called Fireworks "the TSMC of AI factories" at GTC 2026.
Here's the @nvidia CEO's full conversation with our own, @lqiao:
Another proof point for the open-weights thesis. From @RampLabs:
"If we built this again, we'd lean more on open-weight models."
Ramp pointed 10K agents at their own backend. Kimi K2.6 and DeepSeek V4 Pro on Fireworks recovered 7 high-severity vulnerabilities at ~5x lower cost per token than GPT 5.5. In a world of scarce (GPU) resources, both cost and value matter. AI leaders today are finding the right balance btw open & closed.
"On balance, the hard cases reward a frontier model, but cheaper open-weight models still find high-severity security issues in production code at meaningful rates."
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This tracks. 30 trillion tokens a day on our end, and open model share keeps climbing.
Our partners @FactoryAI are seeing what we're seeing.
Narrative violation:
Open model use in Factory has more than 3x’d in the last month relative to closed models. By both total consumption and event count.
Will be interesting to see what open vs closed token-share looks like at EOY
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