[KongchangAI]
ModelClaude Sonnet 5.5

Sonnet 5.5

A new version in Anthropic's Claude Sonnet series, positioned within the mid-tier product line of the Claude model family.

Core Facts

Timeline (last 90 days)

Oct 14

In the Zapier automation benchmark, Argon took 51%, ahead of Sonnet 5.5's 45%.

Unverified50%
Oct 14

Opus 5.5 in Max mode scored 58 on the Artificial Analysis Intelligence Index, while Sonnet 5.5 scored 56.

Unverified50%
Oct 13

WonderFull's coding Agent score of 68 is on par with ClawedCode (equipped with Sonnet 5.5).

Unverified50%
Oct 12

In the Intelligence Index given by the independent evaluation organization Artificial Analysis, Muse Wonder scores only 52, while Claude Opus 5.5 reaches 58.

Partially Verified70%
Oct 12

In test three (generating a 90-day action plan from vague instructions), Opus 5.5 won because it produced a Q4-aligned 90-day sprint plan that was directly executable, while Sonnet generated a local HTML file with dates falling outside Q4.

Unverified50%
Oct 12

When a task has a clear specification and verifiable results, a weaker model can deliver results close to a top-tier model as long as it follows the instructions.

Unverified50%
Oct 12

In test seven (a YouTube video resource guide, with a mature skill as a fallback), the two versions were extremely similar, and Sonnet 5.5 was twice as fast and $0.4 cheaper, so it won.

Unverified50%
Oct 12

In test four (Excel spreadsheet and pitch deck), Opus 5.5 won, as its Excel spreadsheet had formulas in almost every cell that could update automatically, and in this round Opus was faster and cheaper, the only time in the whole session that Opus beat Sonnet on cost-effectiveness.

Unverified50%
Oct 12

In test six (scraping that day's AI news from X to build an interactive dashboard), Opus 5.5 was better in a single round of output, but the creator awarded the win to Sonnet 5.5 under the cost rule, believing Sonnet could achieve the same functionality with a few more iterations.

Unverified50%
Oct 12

The criterion proposed by the creator: if a task has a clear definition of done, try Sonnet first; if it requires creativity or needs the model to help define "what counts as done," use Opus.

Unverified50%

40 more timeline events

All Facts (20)

Verified

Claude Sonnet 5.5 achieved 70.6% on the Terminal benchmark, compared to only 10.3% for the previous generation.

75%
Verified

GPT-6.1 Sol and Sonnet 5.5 have the same price per million tokens: $2 for input and $10 for output.

70%
Verified

The company states that Sonnet 5 shows significant improvements over Sonnet 4.6 in reasoning, tool use, coding, and knowledge work, with overall performance approaching OPUS 4.8 but at a lower price.

70%
Verified

Haiku 5.5 can work as a sub-agent alongside Claude Opus 5.5 and Sonnet 5.5 to complete programming tasks.

65%
Verified

Argon's launch price is $2 per million input tokens and $10 per million output tokens, on par with Sonnet 5.5 and just one-fifth the price of GPT-6 Astra; after the promotional period ends, prices will double to $4 input and $20 output.

65%
Verified

Sonnet 5.5's cache read cost remained at $0.20 per million tokens with no reduction, whereas Fable 5.1 cut it by 90% and Opus cut it by approximately 60%.

65%
Verified

In the deep audit benchmark, Sonnet 5.5's cost is approximately half that of Opus, its score is slightly higher than Opus, and it takes about 5 minutes (roughly half the time Opus takes).

65%
Verified

On the SWE-Bench Pro benchmark, Sonnet 5 significantly trails Opus 4.8.

65%
Partially Verified

In the Intelligence Index given by the independent evaluation organization Artificial Analysis, Muse Wonder scores only 52, while Claude Opus 5.5 reaches 58.

70%
Partially Verified

Max mode raises the lower bound of reasoning tokens rather than the upper bound, forcing the model to reach a certain amount of reasoning before it is considered complete, which often harms performance.

65%
Partially Verified

Sonnet 5.5 is on par with Opus 5.5 in offensive and defensive cybersecurity capabilities, making it the first model in the Sonnet series to adopt equivalent cybersecurity protection mechanisms.

65%
Unverified

Sonnet 5.5 became the first Sonnet model to complete Pokémon Red solely by reading and operating through screenshots.

60%
Unverified

Opus 5.5 in Max mode scored 58 on the Artificial Analysis Intelligence Index, while Sonnet 5.5 scored 56.

50%
Unverified

In the Zapier automation benchmark, Argon took 51%, ahead of Sonnet 5.5's 45%.

50%
Unverified

WonderFull's coding Agent score of 68 is on par with ClawedCode (equipped with Sonnet 5.5).

50%
Unverified

Anthropic officially recommends: use Sonnet for everyday coding, bug fixing, high-throughput routine development, and polishing documents/slides/spreadsheets; use Opus for tasks requiring complex judgment, long-chain agentic coding, knowledge work, or the toughest problems.

50%
Unverified

When a task has a clear specification and verifiable results, a weaker model can deliver results close to a top-tier model as long as it follows the instructions.

50%
Unverified

The criterion proposed by the creator: if a task has a clear definition of done, try Sonnet first; if it requires creativity or needs the model to help define "what counts as done," use Opus.

50%
Unverified

Sonnet 5.5 was the only one of the three models to add background music (rather than just sound effects).

50%
Unverified

Anthropic officially does not recommend using max reasoning mode on Sonnet 5.5, because the model tends to run too long, do work beyond what is needed, and even contradict itself.

50%

Source Articles