Claude 4.6 Sonnet vs Grok 4.3
Compare Claude 4.6 Sonnet and Grok 4.3 across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Overview Comparison
Structured side-by-side differences for the highest-signal model metadata.
Provider
The entity that currently provides this model.
Model ID
The routed model identifier exposed by upstream providers.
Input Context Window
The number of tokens supported by the input context window.
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
Open Source
Whether the model's code is available for public use.
Release Date
When the model was first released.
Knowledge Cut-off Date
When the model's knowledge was last updated.
API Providers
The providers that currently expose the model through an API.
Modalities
Types of data each model can process or return.
Pricing Comparison
Compare current token pricing before you choose the cheaper or more scalable API option.
Capabilities Comparison
See where each model overlaps, where they differ, and which one supports more of the features you care about.
Benchmark Comparison
Shared benchmark rows make it easier to compare performance where both models have published scores.
| Benchmark | Claude 4.6 Sonnet | Grok 4.3 |
|---|---|---|
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ARC-AGI-2
Novel abstract reasoning and pattern recognition
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Finance Agent
Financial analysis and decision-making tasks
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GPQA Diamond
PhD-level science questions (biology, physics, chemistry)
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HLE
Questions that challenge frontier models across many domains
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IFBench
Instruction following accuracy
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Long Context Reasoning
Reasoning across long documents and contexts
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MATH-500
Undergraduate and competition-level math problems
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MCP-Atlas Tool Use
Structured tool use via Model Context Protocol
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MMLU-Pro
Expert knowledge across 14 academic disciplines
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MMMB
Multilingual and multimodal understanding
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OSWorld-Verified
Autonomous computer use and desktop tasks
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SciCode
Scientific research coding and numerical methods
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SWE-bench Verified
Real GitHub issues requiring multi-file code fixes
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Terminal-Bench 2.0
Agentic coding and terminal command tasks
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TerminalBench Hard
Agentic coding and terminal command tasks
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τ²-Bench
Agentic tool use in realistic scenarios
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τ²-bench Retail
Agentic tool use in retail scenarios
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τ²-bench Telecom
Agentic tool use in telecom scenarios
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What Reddit discussions say about Claude 4.6 Sonnet vs Grok 4.3
Claude 4.6 Sonnet and Grok 4.3 are both surfacing live Reddit discussions, giving this comparison a community layer beyond specs and benchmarks.
The most visible threads right now are clustered in r/singularity, r/LoveGrok, r/grok.
[https://youtu.be/Qct36RA3y9k?t=1842](https://youtu.be/Qct36RA3y9k?t=1842)
More info: [https://github.com/lechmazur/nyt-connections/](https://github.com/lechmazur/nyt-connections/)
xAI has released Grok 4.3 and it has immediately claimed the number one position on the IFBench leaderboard for instruction following.
According to Artificial Analysis the new model achieved an impressive 81 percent score beating GPT 5.5 Gemini 3.1 Pro Claude Opus 4.7 and all other major competitors.
The biggest improvement here is that Grok now follows user instructions much more accurately and consistently. It sticks to exactly what you ask without adding extra stuff or ignoring parts of the request.
This is exactly the kind of reliability a lot of people have been looking for in AI tools. A clean and focused update from xAI that makes Grok feel more dependable for daily use.
Honestly, it isn't a terrible model.
I would put it on par with maybe Claude 4.6 sonnet.
For creativity, as I usually need that for writing. Its pretty excellent. Just not the feeling of a model like opus would.
I don't really use any other model except Kimi K2.6, as that's the best one so far.
For coding, it's pretty good too, though I've only done some html stuff with it.
And the fact it's in preview, just only means there's a hole lot more this model can do! Once it gets better at roleplay (still a bit generic, better than deepseek V3.2 in some way imo). It would be my daily driver most definitely.
Which model should you choose?
Use the summary below to decide which model better fits your workflow, budget, and feature requirements.
Claude 4.6 Sonnet
Claude 4.6 Sonnet is a stronger fit for long-context workloads, reasoning-heavy tasks, tool-augmented workflows.
Grok 4.3
Grok 4.3 is a stronger fit for long-context workloads, reasoning-heavy tasks, tool-augmented workflows.
Choose Claude 4.6 Sonnet if you prioritize long-context workloads, reasoning-heavy tasks, tool-augmented workflows. Choose Grok 4.3 if your workflow depends more on long-context workloads, reasoning-heavy tasks, tool-augmented workflows.
Common questions about Claude 4.6 Sonnet vs Grok 4.3
What is the main difference between Claude 4.6 Sonnet and Grok 4.3?
Claude 4.6 Sonnet leans toward long-context workloads, reasoning-heavy tasks, tool-augmented workflows, while Grok 4.3 is better suited to long-context workloads, reasoning-heavy tasks, tool-augmented workflows.
Which model is cheaper: Claude 4.6 Sonnet or Grok 4.3?
Grok 4.3 starts lower on input pricing at $1.2500 per 1M input tokens, compared with $3.0000 for Claude 4.6 Sonnet.
Which model has the larger context window: Claude 4.6 Sonnet or Grok 4.3?
Claude 4.6 Sonnet is listed with a context window of 1M, while Grok 4.3 is listed with 1M.
How should I evaluate Claude 4.6 Sonnet vs Grok 4.3 for my use case?
This comparison currently includes 18 shared benchmark rows, helping you compare practical performance across overlapping evaluations.