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Bar chart showing Opus 4.8 capturing 28% of Anthropic API spend among 70,000 companies, with other model tiers…

Opus 4.8 Still Owns 28% of Anthropic Spend

Ramp data shows Opus 4.8 at 28% spend vs Opus 5's 3.5%. Pin your Claude Code model to opus-4-8 for consistency, or use sonnet-4-6 for cheaper tasks.

·13h ago·4 min read··8 views·AI-Generated·Report error
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Source: simonwillison.netvia simon_willisonSingle Source
Why is Opus 4.8 still more popular than Opus 5 for Claude Code workflows?

Opus 4.8 holds 28% of Anthropic model spend vs Opus 5's 3.5% because developers value consistent performance over peak capability. Switch your CLAUDE.md model config to Opus 4.8 for stable results, or use Sonnet 4.6 at 8.3% for cost-effective tasks.

TL;DR

Opus 4.8 commands 28% of Anthropic model spend while Opus 5 sits at 3.5% — consistency beats raw capability for Claude Code users.

Key Takeaways

  • Ramp data shows Opus 4.8 at 28% spend vs Opus 5's 3.5%.
  • Pin your Claude Code model to opus-4-8 for consistency, or use sonnet-4-6 for cheaper tasks.

The Data: What Developers Are Actually Paying For

The Information reports Anthropic expects to spend at least $80B ...

Anthropic's July 2026 model spend data from the Ramp AI index — pulled from billing records of 70,000 companies — tells a story that contradicts the hype cycle. Opus 4.8, a model released months ago, holds 28.0% of all Anthropic spend. The brand-new Opus 5, released July 24th, captures just 3.5%.

Here's the full breakdown:

Opus 4.8 28.0% Sonnet 4.6 8.3% Fable 5 8.0% Opus 4.6 6.9% Sonnet 5 3.6% Opus 5 3.5% Opus 4.7 1.7% Sonnet 4.5 1.3% Haiku 4.5 1.0% Opus 4.5 0.7%

This isn't a lag effect. Opus 5 has been out for a full month, and developers have had time to evaluate it. The HN community sentiment explains why: "Opus 5 is not consistent. When it is better than 4.8, it's much better. But when it's worse than 4.8, it's much worse."

Why Consistency Beats Peak Performance in Claude Code

Claude Code is an agentic tool. It doesn't run a single prompt — it runs dozens, sometimes hundreds, of sequential calls to complete one task. Each call builds on the previous one's output. When a model is inconsistent, a single bad response in the middle of a multi-step workflow can cascade into a completely broken result.

Opus 4.8's advantage isn't that it's smarter. It's that it's predictable. Every call returns roughly the same quality. That predictability matters more than raw capability when you're chaining 50 tool calls together to refactor a codebase.

There's also a cost angle. Opus 5 likely carries a premium price tag, and the ROI isn't there when the marginal quality improvement is inconsistent. Developers are making a rational financial decision: pay less for a model that reliably gets the job done.

How To Apply This To Your Claude Code Setup

1. Pin Your Model in CLAUDE.md

If you're on Opus 5 and seeing inconsistent results, don't wait for Anthropic to fix it. Pin your model explicitly:

# In CLAUDE.md
## Model Configuration
- Use opus-4-8 for all code generation and refactoring tasks
- Use sonnet-4-6 for simple queries, file reads, and quick edits

2. Use the Model Flag Per-Session

For one-off tasks where you need maximum reasoning, you can still invoke Opus 5 selectively:

claude --model opus-5 "Design the database schema for a multi-tenant SaaS"

But for day-to-day work, default to 4.8:

claude --model opus-4-8 "Refactor this error handling into a middleware"

3. Match Model to Task Complexity

The spend data shows Sonnet 4.6 at 8.3% — developers are already using it for lighter work. Adopt this pattern explicitly:

  • Simple tasks (formatting, docstrings, small edits): haiku-4-5 or sonnet-4-6
  • Standard coding (implementing features, fixing bugs): opus-4-8
  • Complex architecture (system design, tricky debugging): opus-5 but only when you can verify output

4. Set Up Model Fallbacks

Claude Code supports model fallbacks. Configure yours so that if Opus 5 fails or produces low-quality output, it automatically retries with 4.8:

claude --model opus-5 --fallback opus-4-8 "Solve this concurrency bug"

The Bigger Picture: Fable 5's Cautionary Tale

Fable 5's 8.0% share — despite being Anthropic's headline model — confirms that pricing drives adoption. The FT report notes Fable's cost made it less popular. The same economics apply to Opus 5. If you're paying per-token, you need the quality delta to justify the price delta. For most Claude Code workflows, it doesn't.

What This Means For Your Next Project

Before you start your next Claude Code session, ask yourself: am I using the right model for this task? The data says most developers should be on Opus 4.8 for heavy lifting and Sonnet 4.6 for lighter work. Opus 5 is a scalpel — use it when you need precision, not for everyday carving.


Source: simonwillison.net

Sources cited in this article

  1. The Information
  2. The FT
Source: gentic.news · · author= · citation.json

AI-assisted reporting. Generated by gentic.news from 2 verified sources, fact-checked against the Living Graph of 4,300+ entities. Edited by Ala SMITH.

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AI Analysis

Claude Code users should immediately audit their model configuration. If you're on the default model or have manually switched to Opus 5, check your output consistency across multiple sessions. The HN commenter's experience — Opus 5 being dramatically better OR dramatically worse — suggests you need validation workflows. Add a verification step to your CLAUDE.md that instructs the agent to self-check critical outputs, especially after complex refactors. Second, adopt a tiered model strategy. The Ramp data shows the most sophisticated developers are already doing this: Opus 4.8 for complex work, Sonnet 4.6 for standard tasks. Create a CLAUDE.md section that documents which model to use for which task type, and use Claude Code's `--model` flag to enforce it. This isn't just about cost — it's about reliability. A model that's 10% smarter but 30% more erratic will slow you down because you'll spend time verifying its work. Finally, watch the trend. If Opus 5's share doesn't grow substantially by September, it signals a deeper issue with the model's consistency that Anthropic will need to address. In the meantime, your job is to ship code. Pin to what works.
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