Grok 4 wins on price ($2 vs $15/1M input) and context window (2M vs 1M). Claude Opus 4.6 wins on coding (99 vs 92) and writing quality. For most workflows, Grok 4 is the stronger default — strong coding value with 2m context — an underrated pick at this price.
Pick Grok 4 for coding and research. Pick Claude Opus 4.6 when agentic coding.
Strong coding value with 2M context — an underrated pick at this price.
Use Grok 4 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.
Grok 4 is the safest overall answer here when you want the strongest default instead of the lowest list price.
Grok 4 is the lower-cost option to start with when you still need useful output at scale.
Claude Opus 4.6 is the better pick when response speed matters more than maximum reasoning depth.
Claude Opus 4.6 leads on coding with a score of 99 vs 92 for Grok 4.
Grok 4 has the larger context window: 2M vs 1M for Claude Opus 4.6.
Grok 4 is cheaper at $2/1M input tokens vs $15/1M for Claude Opus 4.6.
Choose Grok 4 for coding and research — coding and research at competitive pricing with maximum context.
Choose Claude Opus 4.6 when agentic coding.
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.
Strong coding value with 2M context — an underrated pick at this price.
The current #1 coding model by SWE-bench — use when quality is non-negotiable.
Use these cards as the practical decision layer: what each leading option is good at, and when it becomes the wrong default.
Strong coding value with 2M context — an underrated pick at this price.
Coding and research at competitive pricing with maximum context
You need the highest writing quality or the most reliable production-grade output — Claude wins both.
The current #1 coding model by SWE-bench — use when quality is non-negotiable.
Agentic coding, complex multi-step reasoning, and deep research
You run high prompt volumes or cost is a constraint — Sonnet 4.6 delivers 97% of the quality at 20% of the price.
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.
Strong coding value with 2M context — an underrated pick at this price.
The current #1 coding model by SWE-bench — use when quality is non-negotiable.
75% SWE-bench score — strong coding performance close to top Claude models
2M token context window at $2/$6 per million tokens
Fast and responsive for exploration and open-ended research loops
Claude Opus 4.6 and Sonnet 4.6 lead on pure coding benchmarks
Less established ecosystem and tooling than OpenAI or Anthropic
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.
Grok 4 wins on more categories — coding, research, reasoning. Claude Opus 4.6 is the better pick when agentic coding. The right choice depends on your specific use case.
Grok 4 is cheaper at $2/1M input and $6/1M output. Claude Opus 4.6 costs $15/1M input and $75/1M output.
Grok 4 has the larger context window at 2M tokens vs Claude Opus 4.6's 1M. For large document analysis, Grok 4 is the stronger pick.
Claude Opus 4.6 is better for coding with a score of 99 vs Grok 4's 92. For the highest coding quality available, Claude Sonnet 4.6 (79.6% SWE-bench) or Opus 4.6 (80.8%) remain benchmarks.
Grok 4 is faster with a fast speed rating (score: 4) vs Claude Opus 4.6's deliberate rating (score: 2).
