Your Value, Fast
- Start with two high-impact models
- Cut noise with direct trade-offs
- Ship a benchmark this week
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Pick the right LLM in minutes with clear model picks and a fast test plan.
GPT-6 Astra Claude Opus 5.5 October 2026
GPT-6 Astra
Newest frontier — 99.9% ARC-AGI 3, 100% ExploitBench
Claude Opus 5.5
Current Opus — 1M context, $4/$20 per MTok, adaptive thinking
Claude Fable 5.1
Creative/narrative — 52.6% on Terminal-Bench-Science 0.1
Gemini 3.8 Flash
Now stable — thinking levels + native audio
Mistral Large 4
Oct 6 — open-weight 1.05T MoE, 1M context, $1.36/$4.18
If you only test two models this week: GPT-6 Astra for newest frontier quality (99.9% ARC-AGI 3, 100% ExploitBench), and Claude Opus 5.5 for 1M context, adaptive thinking and state-of-the-art agentic reasoning at $4/$20 per MTok.
Newest frontier model with 99.9% on ARC-AGI 3, 100% on ExploitBench, and 256K–512K long context. Best for cutting-edge AI research and production frontiers.
Best for complex agentic workflows, state-of-the-art reasoning, and autonomous long-running tasks with 1M context and 128K output.
October 2026 Snapshot
2
primary models to benchmark first
GPT-6 Astra + Claude Opus 5.5 first.
3
decision factors that dominate outcomes
Quality, cost, control.
7
days to run a serious evaluation cycle
Ship a real benchmark in one week.
Executive Summaries
01
GPT-6 Astra or Claude Opus 5.5 for top-end quality on the hardest agentic, vision, and reasoning tasks.
See deployment recommendations02
Llama 4.1 for control and multilingual, Qwen4 for reasoning quality.
Compare against other reasoning models03
Use frontier for complex flows and Claude Sonnet 5.5/GPT-6 Luna for volume.
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Technical Analysis
Product Assistants
Latest refresh (October 13, 2026): Claude Opus 5.5 (Sep 22), Sonnet 5.5 (Sep 28) and Haiku 5.5 (Oct 7); GPT-6 Sol/Luna (Sep 22) and GPT-6.1 Sol (Sep 29); Mistral Large 4 (Oct 6, open weights); Grok 4.7 (Sep 21); Gemini 4 Argon announced Sep 30 (trusted cyber defenders only for now). Still relevant from earlier: Gemini 3.8 Flash, Llama 4.1, DeepSeek V4.1-DSpark (920B), Qwen3.8-2.4T-A95B, Kimi K3 (2.8T) and GLM-5.3 (753B).
Claude Opus 5.5 or GPT-6.1 Sol for top-end quality, 1M+ context, and complex reasoning.
Use GPT-6 Luna, Claude Haiku 5.5, Claude Sonnet 5.5, or Gemini 3.8 Flash for balanced speed and cost.
Start with Mistral Large 4, Qwen3.8-2.4T-A95B, Kimi K3 and Llama 4.1, then test GLM-5.3 and MiMo-V2.6 for coding.
Pair Claude Opus 5.5 with Claude Sonnet 5.5 or Devstral 2 for speed and cost balance.
Plain-English strengths and weaknesses across major model families.
Clear architecture picks for solo projects, SaaS, and enterprise.
Fast comparison for reasoning, coding, cost, latency, and control.
Strong default quality and tooling, typically at premium pricing.
Excellent long-context writing for documentation and policy work.
Strong multimodal performance and tight Google cloud integration.
Popular open/open-weight options for self-hosting and cost control.
Anthropic followed Fable 5.1 (Sep 1) with Claude Opus 5.5 (Sep 22, $4/$20 per MTok), Sonnet 5.5 (Sep 28, $2/$10) and Haiku 5.5 (Oct 7, from $0.10/$0.50), all with 1M context. Thinking is always adaptive on Opus 5.5, with effort levels as the main control. Mythos 5.1 stays gated to trusted-access programs.
OpenAI added cheaper GPT-6 tiers on Sep 22: Sol ($2/$10 per MTok, 1.05M context) and Luna ($0.10/$0.50), followed by GPT-6.1 Sol on Sep 29 for coding, computer use and reasoning. GPT-6 Astra remains the top tier.
Google announced Gemini 4 Argon on Sep 30 as its newest frontier model. Access is limited to trusted cyber defenders through the Fairwind Program for now; no public pricing or general availability date yet. Gemini 3.8 Flash remains the production choice.
Meta's August update brings optimized MoE architecture with significantly improved multilingual support including Nordic languages. Better for global deployments.
DeepSeek V4.1-DSpark (920B) improves agent capabilities. Qwen3.8-2.4T-A95B is the first open Qwen-Max-class model (2.4T/95B). Kimi K3 (2.8T) is the world's first open 3T-class model. GLM-5.3 leads on coding and cybersecurity.
Fast default: one top closed model for quality plus one low-cost model for volume.
Read the full guidance on Model Recommendations.