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.
Claude Opus 5 GPT-5.7 August 2026
Claude Opus 5
New frontier — 2M context, state-of-the-art reasoning
GPT-5.7
New — 1.2M context, enhanced computer use
Gemini 3.6 Pro
Now stable — frontier reasoning
Llama 4.1
New — improved multilingual MoE
DeepSeek V4.1-DSpark
920B parameters, better agents
If you only test two models this week: Claude Opus 5 for frontier quality with 2M context and state-of-the-art reasoning, and GPT-5.7 for 1.2M context and enhanced computer use capabilities.
Best for complex agentic workflows, state-of-the-art reasoning, and autonomous long-running tasks with 2M context and 256K output.
Best for computer use, sandboxed execution, and complex professional work. 1.2M context with improved reasoning.
August 2026 Snapshot
2
primary models to benchmark first
Claude Opus 5 + GPT-5.7 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
Claude Opus 5 or GPT-5.7 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/GPT-5.6 Luna for volume.
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August updates: Claude Opus 5 with 2M context and state-of-the-art reasoning. GPT-5.7 with 1.2M context and enhanced computer use. Gemini 3.6 Pro now stable. Llama 4.1 with improved multilingual. DeepSeek V4.1-DSpark (920B), Qwen3.8-2.4T-A95B, Kimi K3 (2.8T) and GLM-5.3 (753B).
Claude Opus 5 or GPT-5.7 for top-end quality, 2M context, and complex reasoning.
Use GPT-5.6 Luna, Claude Sonnet 5, or Gemini 3.6 Flash for balanced speed and cost.
Start with Qwen3.8-2.4T-A95B, Kimi K3 and Llama 4.1, then test GLM-5.3 for coding.
Pair Claude Opus 5 with Claude Sonnet 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's August release brings the Claude 5 family: Claude Opus 5 with 2M context and state-of-the-art reasoning, Claude Fable 5 for creative writing and storytelling, plus Claude Sonnet 5 for balanced workloads. $6/$30 per MTok for Opus 5. Best-in-class for complex agentic workflows.
OpenAI's August release expands to 1.2M context with enhanced computer use and sandboxed execution. Improved reasoning and tool use make it ideal for complex professional workflows.
Google's frontier reasoning model moves from preview to stable. Gemini 3.6 Flash continues as the speed-optimized choice for agentic and multimodal tasks.
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 Enterprise Systems, and Model Recommendations.