Claude Opus 4.7 vs Grok 4

Across our 12-test suite, Claude Opus 4.7 wins 4 benchmarks outright, Grok 4 wins 2, and the two tie on 6.

Where Opus 4.7 leads:

• Tool calling (5 vs 4): Opus 4.7 ties for 1st among 55 models tested; Grok 4 ranks 19th. This gap matters in production: better function selection and argument accuracy means fewer failed tool invocations in multi-step pipelines.
• Agentic planning (5 vs 3): Opus 4.7 ties for 1st; Grok 4 ranks 43rd of 55. A two-point gap on goal decomposition and failure recovery is significant — Grok 4 is near the bottom quartile here, which will surface in complex, multi-step agentic tasks.
• Creative problem solving (5 vs 3): Opus 4.7 ties for 1st among 55; Grok 4 ranks 31st. This test rewards non-obvious, feasible ideas — Opus 4.7 clearly outperforms.
• Safety calibration (3 vs 2): Opus 4.7 ranks 10th of 56; Grok 4 ranks 13th. Both models are above the field median (which sits at 2), but Opus 4.7 is more reliable at refusing harmful requests while permitting legitimate ones.

Where Grok 4 leads:

• Multilingual (5 vs 4): Grok 4 ties for 1st among 56 models; Opus 4.7 ranks 36th. If your users write in non-English languages, Grok 4 produces measurably better output quality.
• Classification (4 vs 3): Grok 4 ties for 1st among 54 models; Opus 4.7 ranks 31st. For categorization and routing tasks — think content moderation, intent detection, or document triage — Grok 4 is the clear choice.

Where they tie (both models score identically):

• Strategic analysis (5 vs 5): Both tie for 1st among 55 models. Nuanced tradeoff reasoning is equally strong.
• Faithfulness (5 vs 5): Both tie for 1st among 56 models. Neither model hallucinates beyond source material in our testing.
• Long context (5 vs 5): Both tie for 1st among 56 models. Retrieval accuracy at 30K+ tokens is equivalent. Note that Opus 4.7 has a 1 million token context window versus Grok 4's 256K — a meaningful hardware difference even though both score the same on our retrieval test.
• Structured output (4 vs 4): Both rank 26th of 55. JSON schema compliance is comparable.
• Constrained rewriting (4 vs 4): Both rank 6th of 55. Compression within hard character limits is equivalent.
• Persona consistency (5 vs 5): Both tie for 1st among 55 models.

Note that our benchmark data does not include external scores (SWE-bench Verified, MATH Level 5, AIME 2025) for either model in this comparison.

Claude Opus 4.7 costs $5 per million input tokens and $25 per million output tokens. Grok 4 costs $3 per million input tokens and $15 per million output tokens. The output cost gap is where it really adds up, since most applications generate far more output tokens than input tokens.

At 1 million output tokens per month, you pay $25 for Opus 4.7 versus $15 for Grok 4 — a $10 difference you'll barely notice. At 10 million output tokens, that gap becomes $100. At 100 million output tokens, you're looking at $2,500 for Opus 4.7 versus $1,500 for Grok 4 — a $1,000/month difference that changes the math for cost-sensitive products.

For developers running high-volume production workloads, Grok 4's pricing is a genuine advantage, especially since it matches Opus 4.7 on six of twelve benchmarks. Teams building agentic pipelines or coding assistants where Opus 4.7's higher scores on tool calling and planning translate to fewer retries and better task completion should weigh whether the quality gain justifies the cost. For classification pipelines or multilingual applications, Grok 4 actually wins on performance AND price.

Choose Claude Opus 4.7 if you're building agentic systems, multi-step tool-use pipelines, or applications that require complex planning and creative reasoning. Its score of 5 on tool calling, agentic planning, and creative problem solving — versus Grok 4's 4, 3, and 3 respectively — makes it the right engine for autonomous agents, coding assistants, and workflows where failure recovery matters. The 1 million token context window also gives it a structural edge if you need to process very long documents. Be prepared to pay $25 per million output tokens for those capabilities.

Choose Grok 4 if your primary use cases are multilingual output, classification and routing, or any high-volume application where cost efficiency matters. At $15 per million output tokens (40% cheaper on output than Opus 4.7), Grok 4 matches Opus 4.7 on six benchmarks, wins on multilingual and classification, and saves real money at scale. It also supports a broader set of documented API parameters including logprobs, seed, and structured outputs — useful for developers who need fine-grained control. The 256K context window covers most real-world use cases.