Claude Opus 4.7 vs Opus 4.8: Benchmarks, Pricing And What Actually Changed (2026)
/ Faster, smarter and more reliable coding
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Published: June 10, 2026 at 2:10 PM EDT | Updated: September 4, 2026 at 2:52 AM EDT
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/ Faster, smarter and more reliable coding
Quick Answer: Most workflows will benefit from using Quick Answer Claude Opus 4.8. All at the same $5/$25 per million token price, it scores higher on 6 out of 7 shared benchmarks, is 4× more honest about code flaws, and fixes Opus 4.7’s most complained-about behavioural issues. If your workflow is already tuned to the behaviour of Opus 4.7, then test it before migrating.
Anthropic has recently introduced Claude Opus 4.7 on May 28,2026, and just 42 days later, they released Claude Opus 4.8. Anthropic’s own description was halfhearted, a modest but tangible improvement.
The behavioural data and the developer reactions tell a more interesting story, as do the benchmark numbers.
Anthropic’s official system card ran both models on coding, writing and reasoning challenges and compared the results with those from LLMReference, Vellum, BenchLM and CodeRabbit’s internal test. It’s driven less by the power of these two versions of Claude Opus and is more about what you can’t fit into a leaderboard: reliability and honesty.
Opus 4.7 was an able version. In this release cycle it increased SWE-bench from 53.4% to 64.3%, a big coding step. But the developers who were putting the model into operation soon found themselves in the very same position: the model was preachy, overly defensive and sometimes accepted ideas that it didn’t.
The grievances were clearly and uniformly stated in all forums:
CodeRabbit’s applied AI team conducted internal testing on the precision of code review using Opus 4.7 and they discovered it was creating way too many defensive comments and had a poor signal-to-noise ratio. While the comments in Opus 4.8 were more clear and it’s easy for anyone to read through it, the comments in Opus 4.7 were that Opus 4.7 was being more authoritative.
The latest version of the Basic Statistics tab on the new 4.8 version of Anthropic Claude.The updated Basic Statistics tab of the new 4.8 version of Claude.
Data from Anthropic’s official Claude Opus 4.8 System Card and LLMReference comparison database is given below:
| Benchmark | What It Tests | Opus 4.7 | Opus 4.8 | Winner |
|---|---|---|---|---|
| SWE Bench Pro | The actual solution of a GitHub issue. | 64.3% | 69.2% | 4.8 (+4.9) |
| SWE-Bench Verified | Software engineering depth | 87.6% | 88.6% | 4.8 (+1) |
| Terminal Bench 2.1 | Agentic terminal/CLI coding | 66.1% | 74.6% | 4.8 (+8.5) |
| Humanity’s Last Exam | Hard multidisciplinary reasoning | 54.7% | 57.9% | 4.8 (+3.2) |
| BrowseComp | Browser agent tasks | 79.3% | 84.3% | 4.8 (+5) |
| SWE Bench Pro (alt) | Multi repo coding | 64.3% | 69.2% | 4.8 |
| GPQA Diamond | Graduate level reasoning | 94.2 | 93.6 | 4.7 (+0.6) |
| GDPval-AA (Elo) | Real world knowledge work | 1,753 | 1,890 | 4.8 (+137) |
| OfficeQA Pro | Multimodal document work | 43.6% | 66.2% | 4.8 (+22.6) |
| BenchLM Overall | Composite all categories | 85 | 93 | 4.8 (+8) |
Honest Opinion: Opus 4.8 takes 9 of 10 shared benchmarks. There is one area in which Opus 4.7 has an even more modest lead: GPQA Diamond (graduate level reasoning), which it achieves a score of 94.2 to 93.6. The two models are tied at that level.
The figure that blew me away was the +22.6 which is the increase in score that OfficeQA Pro had, from 43.6% to 66.2%. This is the biggest single model change between the two models, but this is largely ignored. If your company has a lot of work with documents it is not an incremental upgrade, but a structural upgrade.

On SWE-Bench Pro, the most difficult coding benchmark in regular rotation and is based on actively maintained open source projects with no leakage of the ground truth. Opus 4.8 achieves 69.2% as compared to 64.3% for Opus 4.7. This is almost 5% more on a test geared toward preventing memorization.
Scott Wu, from Cognition, said: Opus 4.8 addresses the comment verbosity and tool calling issues we’ve been seeing with Opus 4.7. On CursorBench, Michael Truell at Cursor added that Opus 4.8 is more efficient in terms of steps for the same intelligence e.g. token cost per task, without affecting pass rate.
To develop CodeRabbit’s internal evaluation:

The comparison of Opus 4.7 vs Opus 4.8 really begins to get interesting and where the benchmark tables aren’t that much important.
This is a single most important thing for developers to do when running autonomous agents overnight, and it’s from Anthropic’s own system card is 4x less likely to let code flaws slip through.
Anthropic’s Alignment team verified that the misalignment rates of the generally available Claude 4.8 are similar to our best aligned model, Claude Mythos Preview. It’s not a little bit. If you are an agent that needs to run in an environment with a high degree of uncertainty, such as legal or financial or medical workflows, you need a model that stops and points out uncertainty, not one that goes ahead saying “I’m sure this is correct”.
Comparing the pricing of the two versions of Opus 4.7 and 4.8 on paper reveals an identical cost, but in practice a significant difference.
| Pricing | Claude Opus 4.7 | Claude Opus 4.8 |
|---|---|---|
| Input / 1M tokens | $5.00 | $5.00 |
| Output / 1M tokens | $25.00 | $25.00 |
| Cached / 1M tokens | $1.25 | $1.25 |
| Fast Mode | Not available | $10 / $50 (2.5× speed) |
| Context Window | 1M tokens | 1M tokens |
| Knowledge Cutoff | January 2026 | January 2026 |
The base price of these two items is the same. This table doesn’t reveal an important distinction: In practice, Opus 4.7 costs 30 to 40% more than Opus 4.6, since it produces tokens that are much more numerous but not that much better. In production pipelines, a lot of these tokens accumulate when a model provides irrelevant defensive remarks, moral disclaimers and wordy explanations in every answer.
If you’re using an agentic workflow with a high volume of work, the actual price between 4.7 and 4.8 becomes significant at the same quoted price.
The Fast Mode is also new for 4.8, with the speed being 2.5x with the same $10/$50 per million tokens pricing as previous versions of the fast mode. In cases where speed is more important than maximum depth, this is a very useful addition.

Opus 4.8 also has all the capabilities that Opus 4.7 does not:
Switch immediately if:
If you have had a change of plans, test before switching if:
My opinion: If you still have some workflow that you’ve fine tuned to work with the quirks and haven’t yet found time to revalidate then you’re perfectly fine on Opus 4.7. On all other fronts 4.8 is better and if they both cost the same, there’s no reason to be left behind.
| Use Case | Best Model |
|---|---|
| Multi file agentic coding | Claude Opus 4.8 |
| At scale code review. | Claude Opus 4.8 |
| Autonomous agents (overnight runs) | Claude Opus 4.8 |
| Professional document work | Claude Opus 4.8 |
| Graduate level reasoning (GPQA) | Opus 4.7 (marginal) |
| Creative writing with complex themes | Claude Opus 4.8 |
| High volume pipelines that require fastness. | Opus 4.8 Fast Mode |
| Already calibrated 4.7 workflows | Wait on 4.7, test first |
Claude Opus 4.8 is a major step up from the previous version, it’s not exactly revolutionary. Anthropic said that: The coding changes are quantifiable. The behavioral improvements are for real. The honesty upgraders help you to understand how trustworthy autonomous outputs are. And at the same price, there’s no reason to put that one on the table.
Letty Simone is an expert AI writer. She Covers AI news, reviews tools and updates the audience with the latest AI updates. She joined TheTweaks as an AI writer but Prior to TheTweaks she worked as an AI product tester at a business software company. She thinks that the majority of AI reporters represent the story wrongly and she has an aim to do it in a better way.





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