Claude 4 Haiku wins on writing quality. Llama 4 Scout wins on coding (54 vs 52) and price ($0.5 vs $0.8/1M input) and context window (512K vs 200K). For most workflows, Llama 4 Scout is the stronger default — best open-weight long-context option for self-hosted pipelines.
Pick Llama 4 Scout for long context and budget. Pick Claude 4 Haiku when fast budget writing.
Best open-weight long-context option for self-hosted pipelines.
Use Llama 4 Scout if you want the strongest default. Switch only when cost, speed, or context length matters more than maximum reliability.
The shortest way to see the safest default, the lower-cost option, and the specialist pick before you read deeper.
Llama 4 Scout is the safest overall answer here when you want the strongest default instead of the lowest list price.
Llama 4 Scout is the lower-cost option to start with when you still need useful output at scale.
Claude 4 Haiku is the better pick when response speed matters more than maximum reasoning depth.
Llama 4 Scout leads on coding with a score of 54 vs 52 for Claude 4 Haiku.
Llama 4 Scout has the larger context window: 512K vs 200K for Claude 4 Haiku.
Llama 4 Scout is cheaper at $0.5/1M input tokens vs $0.8/1M for Claude 4 Haiku.
Choose Llama 4 Scout for long context and budget — affordable self-hosted long-context workflows and analysis pipelines.
Choose Claude 4 Haiku when fast budget writing.
Both models serve different primary workflows — consider using each where it has a clear edge.
This comparison focuses on the models most likely to answer this search intent well, not every model in the directory.
Best low-cost writing option for fast-moving content teams.
Best open-weight long-context option for self-hosted pipelines.
Use these cards as the practical decision layer: what each leading option is good at, and when it becomes the wrong default.
Best low-cost writing option for fast-moving content teams.
Fast budget writing, support automation, and cost-sensitive Anthropic integrations
Cost is your only concern — Gemini 3.1 Flash offers similar value with a larger context window.
Best open-weight long-context option for self-hosted pipelines.
Affordable self-hosted long-context workflows and analysis pipelines
You want a hosted solution — Gemini 3.1 Flash gives more context for roughly the same cost.
UseRightAI recommendations are based on practical decision factors people actually feel in day-to-day use.
Benchmark scores from SWE-bench (coding), ARC-AGI-2 (reasoning), and MMLU (knowledge breadth) — cross-referenced against Chatbot Arena community votes to filter out cherry-picked provider claims.
Input and output costs verified directly against each provider's official API pricing page. Updated whenever a price change is detected. Value-per-dollar is weighted separately from raw benchmark rank.
Advertised context sizes are noted but scored against real-world usability — models that degrade significantly at large contexts are penalised even if the window is technically available.
Production signals matter more than lab scores. We weight Cursor and Windsurf defaults, HackerNews sentiment, developer surveys, and which models teams actually keep using after the honeymoon period.
One-off wins on cherry-picked benchmarks don't move our rankings. We favour models that stay dependable across repeated prompts, diverse task types, and long sessions without degrading.
Time-to-first-token and output throughput from Artificial Analysis speed benchmarks. Latency is categorised from Very fast to Deliberate — relevant when building interactive or high-throughput products.
Data sources
The fastest way to see where the recommendation shifts when your priority changes.
Best low-cost writing option for fast-moving content teams.
Best open-weight long-context option for self-hosted pipelines.
512K context window at the lowest cost point in the directory
Good for internal analysis pipelines and document processing
Open weights give you full control over deployment
Less polished than hosted frontier models on nuanced tasks
Gemini 3.1 Flash now offers 1M context at only $0.50/1M — bigger and hosted
Newsletter
Useful if you care about ranking shifts, pricing changes, or a better recommendation appearing in this decision path.
No spam. Useful updates only. Affiliate disclosures always clearly labeled.
Llama 4 Scout wins on more categories — long context, budget, research. Claude 4 Haiku is the better pick when fast budget writing. The right choice depends on your specific use case.
Llama 4 Scout is cheaper at $0.5/1M input and $1.2/1M output. Claude 4 Haiku costs $0.8/1M input and $4/1M output.
Llama 4 Scout has the larger context window at 512K tokens vs Claude 4 Haiku's 200K. For large document analysis, Llama 4 Scout is the stronger pick.
Llama 4 Scout is better for coding with a score of 54 vs Claude 4 Haiku's 52. For the highest coding quality available, Claude Sonnet 4.6 (79.6% SWE-bench) or Opus 4.6 (80.8%) remain benchmarks.
Claude 4 Haiku is faster with a very fast speed rating (score: 5) vs Llama 4 Scout's fast rating (score: 4).
