Claude Opus 4.7 vs Grok Code Fast 1

Our 12-test suite gives Claude Opus 4.7 a clear overall edge, with wins on 8 benchmarks, one loss (classification), and three ties.

Where Claude Opus 4.7 leads:

• Strategic analysis (5 vs. 3): Opus 4.7 ties for 1st of 55 models; Grok Code Fast 1 ranks 37th of 55. This is the widest gap in the suite and reflects Opus 4.7's ability to reason through nuanced tradeoffs with real numbers — critical for business analysis, investment memos, and architectural decisions.

• Tool calling (5 vs. 4): Opus 4.7 ties for 1st of 55; Grok Code Fast 1 ranks 19th. In agentic workflows where function selection, argument accuracy, and sequencing matter, Opus 4.7 has a measurable edge.

• Faithfulness (5 vs. 4): Opus 4.7 ties for 1st of 56; Grok Code Fast 1 ranks 35th. Opus 4.7 sticks more reliably to source material — important for RAG pipelines, summarization, and any task where hallucination is costly.

• Long context (5 vs. 4): Opus 4.7 ties for 1st of 56; Grok Code Fast 1 ranks 39th. Opus 4.7 also offers a 1,000,000-token context window versus Grok Code Fast 1's 256,000 tokens — a practical hardware difference for large codebase analysis or lengthy document processing.

• Creative problem solving (5 vs. 3): Opus 4.7 ties for 1st of 55; Grok Code Fast 1 ranks 31st. Generating non-obvious, specific, feasible ideas is a clear Opus 4.7 strength.

• Safety calibration (3 vs. 2): Opus 4.7 ranks 10th of 56; Grok Code Fast 1 ranks 13th. Both are below the field median of 2 — notably, a score of 3 here means Opus 4.7 is actually above the median on this test where the median is 2. Grok Code Fast 1 sits at median. Neither model stands out as exceptional on this dimension, but Opus 4.7 is measurably more calibrated at refusing harmful requests while permitting legitimate ones.

• Constrained rewriting (4 vs. 3): Opus 4.7 ranks 6th of 55; Grok Code Fast 1 ranks 32nd. Compressing text within hard character limits is significantly stronger in Opus 4.7.

• Persona consistency (5 vs. 4): Opus 4.7 ties for 1st of 55; Grok Code Fast 1 ranks 39th. Maintaining character and resisting prompt injection is a meaningful gap for any application with system-prompt-defined behavior.

Where Grok Code Fast 1 leads:

• Classification (4 vs. 3): Grok Code Fast 1 ties for 1st of 54; Opus 4.7 ranks 31st. Grok Code Fast 1 is the stronger router and categorizer. This matters for triage systems, intent detection, and label assignment.

Ties:

• Structured output (4 vs. 4): Both rank 26th of 55, with the same score.
• Agentic planning (5 vs. 5): Both tie for 1st of 55.
• Multilingual (4 vs. 4): Both rank 36th of 56.

The agentic planning tie is noteworthy — both models score a perfect 5, tied for the top spot. For pure goal decomposition and failure recovery tasks, you don't need to pay Opus 4.7's premium. Grok Code Fast 1's designation as a coding-focused reasoning model with visible reasoning traces also makes it practically useful for agentic coding pipelines where its speed and cost efficiency matter more than Opus 4.7's depth on other dimensions.

The price gap here is substantial. Claude Opus 4.7 runs at $5.00 per million input tokens and $25.00 per million output tokens. Grok Code Fast 1 costs $0.20 per million input tokens and $1.50 per million output tokens — making Opus 4.7 roughly 25x more expensive on inputs and over 16x more expensive on outputs.

At real-world usage volumes, this compounds fast. At 1 million output tokens per month, Opus 4.7 costs $25 vs. $1.50 for Grok Code Fast 1 — a $23.50 difference. Scale to 10 million output tokens and you're paying $250 vs. $15, a gap of $235. At 100 million output tokens monthly, Opus 4.7 runs $2,500 versus Grok Code Fast 1's $150 — a $2,350 monthly difference.

For developers building high-volume pipelines — automated code review, document summarization, batch classification — this cost gap is the primary decision factor. Grok Code Fast 1 also supports reasoning tokens natively, meaning you get visible reasoning traces without paying Opus 4.7 pricing. Teams with tighter budgets or high throughput requirements should start with Grok Code Fast 1 and upgrade selectively to Opus 4.7 only for tasks where benchmark results show a material performance difference.

Choose Claude Opus 4.7 if:

• You need top-tier strategic analysis, long-form reasoning, or complex tradeoff evaluation
• Your application relies on faithful retrieval and summarization from long source documents (up to 1 million tokens)
• You're building agentic systems where tool calling accuracy and persona stability are critical
• Creative problem solving quality directly affects your product's output
• You're processing documents or codebases that exceed 256,000 tokens, since Opus 4.7's context window is 4x larger
• Budget is secondary to output quality on high-stakes, low-volume tasks

Choose Grok Code Fast 1 if:

• You're running high-volume pipelines where $25 vs. $1.50 per million output tokens is a real constraint
• Classification, routing, or intent detection is your primary use case — it ranks 1st of 54 models on that benchmark
• You want visible reasoning traces to steer and debug agentic coding workflows
• Your tasks fit within 256,000 tokens and don't require Opus 4.7's long-context retrieval performance
• You need structured outputs with seed control, logprobs, or response format parameters — all explicitly supported by Grok Code Fast 1
• Agentic planning quality is sufficient at the top score (5/5) without paying for Opus 4.7's premium on other dimensions