GPT-5 mini
OpenAI's original cost-efficient GPT-5 variant pairs a 400K context window with $0.25/$2.00 per million token pricing, still doing quiet duty as a cheap backbone for research agents a year after launch.
Models Articles
NVIDIA Nemotron 3.5 Lightning 30B-A3B
NVIDIA's 30B MoE model with 3B active parameters, distilled from Nemotron 3 Ultra, hits 86% PinchBench accuracy at up to 4x the output speed of comparable open models.
Qwen3.8-Max
Alibaba's 2.4 trillion parameter flagship ships with real pricing and a published benchmark table, but the open-weight release it promised for this week still hasn't shown up.
Muse Glimmer
Meta's 30B open-weight agentic model distilled from Muse Spark runs on a single consumer GPU, ships under Apache 2.0, and leads Gemma4-31B and Qwen3.6-27B on 5 of 8 agentic benchmarks.
Qwen3-30B-A3B
Qwen3-30B-A3B is Alibaba's efficient MoE model that activates 3.3B of 30.5B parameters per token, matching much larger dense models on reasoning and agent benchmarks under Apache 2.0.
Muse Spark 1.1
Meta's second Muse model ships a public API at $1.25/$4.25 per million tokens, a 1M-token context window, and the top score on Meta's own tool-use benchmarks.
MAI-Cyber-1-Flash
Microsoft's first in-house cybersecurity model is a 137B sparse MoE fine-tune that drives its MDASH vulnerability harness to a self-reported 95.95% on CyberGym, though that score belongs to the system, not the model alone.
Gemini 3.5 Flash-Lite
Google DeepMind's cheapest paid Gemini tier prices input at $0.30/M and output at $2.50/M tokens, more than doubling OSWorld-Verified and Terminal-Bench 2.1 scores over Gemini 3.1 Flash-Lite while trailing GPT-5.4 mini on raw coding benchmarks.
POCKET-35B
VIDRAFT quantizes its Darwin-36B-Opus MoE model into a 35B GGUF that runs on stock llama.cpp with no GPU, trading GPQA Diamond score for CPU and phone portability.
Claude Opus 5
Anthropic's July 2026 release prices near-Fable-5 coding and agentic performance at Opus 4.8 rates, doubling Frontier-Bench scores and landing within 0.5 points of Fable 5 on CursorBench at half the cost.
SWE-1.7
Cognition's proprietary coding model powering Devin, scoring 42.3% on FrontierCode 1.1 Main at $1.97/task via Cerebras inference at 1000 tokens/sec.
Ling-3.0-flash
InclusionAI's Ling-3.0-flash packs 124B parameters into a 5.1B-active hybrid-linear MoE that Ant Group claims matches its 1T flagship - but shipped with zero independently verifiable benchmark numbers.
