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TL;DR
Anthropic shipped Claude Opus 5.5 on September 22, 2026: Fable 5.1-level performance on most work at $4/$20 per million tokens (40% cheaper than Opus 5), cache reads down 60% to $0.20, output 30% faster. Benchmarks, decision guide, and the OpenCode setup.
Anthropic introduced Claude Opus 5.5 on September 22, 2026, the first model in a new Claude 5.5 family that will also include Sonnet 5.5 and Haiku 5.5 in the coming weeks. The pitch in two numbers: it performs at the level of Claude Fable 5.1 on most work, and it costs 40% less to run than Opus 5. The API price is $4 per million input tokens and $20 per million output tokens (down 20% from Opus 5's $5/$25), cache reads drop 60% to $0.20 per million, and output is more than 30% faster. It is Anthropic's first release since the call to pace the frontier, with pre-release evaluation by METR and Frontier Design.
This post covers what shipped, what the benchmark table actually says, the pricing math for agent workloads, and how to run it in OpenCode right now.
| Source | Link |
|---|---|
| Anthropic announcement (September 22, 2026) | anthropic.com/claude-opus-5-5 |
| Claude pricing page (fetched September 23, 2026) | claude.com/pricing |
| Opus 5.5 System Card | anthropic.com/claude-opus-5-5-system-card |
| What's new in Opus 5.5 (platform docs) | platform.claude.com/docs/en/models/opus-5-5 |
| OpenCode docs | opencode.ai/docs |
The announcement is one long efficiency story. At default effort on FrontierCode v1.1, Opus 5.5 scores 54.6%, beating GPT-6 Astra's top score (53.3%) at roughly 20% of the cost per task; on Terminal-Bench 4.0 it matches Astra for about 40% of the cost; on CursorBench 4.0 it beats GPT-5.6 Sol's best score (41.7%) by 11 points for about a third of the cost.
The other theme is writing. Anthropic says its "most common feedback" about Opus 5 was verbosity, and 5.5 is its answer: clearer messages, important information up front, less jargon. Its side-by-side samples show the same bug explanation and the same Slack-thread summary rendered in roughly half the words.
Vendor-reported early-tester results frame the ceiling: a 680,000-line code migration in less than a day, a 200,000-line codebase audited and fixed in under three hours, and a HAProxy C-to-Rust translation in 9.5 hours versus 12 for Fable 5.1 at 51% lower cost. Treat those as testimonials, not evals - the reproducible signals are the benchmark table and price list below.
Introducing Claude Opus 5.5, the first model in our new Claude 5.5 family.
It performs at the level of Claude Fable 5.1 for most tasks, and costs 40% less to run than Opus 5.
The model is live on all platforms: the Claude Platform (model id
claude-opus-5-5), Amazon Bedrock, Google Cloud Vertex AI, and Microsoft Azure. Subscription tiers get higher five-hour usage limits on Pro, Max, Team, and Enterprise, plus a one-time rate limit reset that can be saved and used any time.Benchmarks#
All figures below are vendor-reported from the announcement, with the caveats they state: Opus 5.5 results use adaptive thinking at max effort unless noted, Terminal-Bench 4.0 uses xhigh effort, and the model ran with production safeguards enabled, which reduced scores where interventions rerouted tasks to fallback models.
Benchmark Opus 5.5 Fable 5.1 Opus 5 GPT-6 Astra GPT-5.6 Sol Terminal-Bench 4.0 66.4% 55.8% 52.3% 57.9% 37.3% FrontierCode v1.1 (Main) 54.4% 50.3% 48.0% 53.3% 47.5% CursorBench 4.0 57.8% 51.8% 46.6% - 41.7% GDPval-AA v2.1 (Elo) 1846 1735 1708 1542 1588 AutomationBench 40.0% 31.4% 26.9% 41.4% 28.8% Humanity's Last Exam (with tools) 67.7% 65.6% 63.6% 57.2% - OSWorld 2.0 (partial) 81.8% 80.7% 74.0% - - Cross-vendor rows are not directly comparable: different harnesses, different effort settings, and OpenAI's figures are as reported by OpenAI. Anthropic says benchmark margins are becoming a less reliable guide to real-world differences, and the AutomationBench figure (run without fallback models) understates the model. The robust signal is efficiency - the accuracy-vs-cost charts put 5.5's default-effort points below every competitor, including its own siblings.
Pricing#
First-party API pricing per 1M tokens, verified against the live pricing page today:
Opus 5.5 Opus 5 Change Input (cache miss) $4.00 $5.00 -20% Output $20.00 $25.00 -20% Cache reads $0.20 $0.50 -60% Cache writes $5.00 $6.25 -20% Fast mode input $8.00 - new Fast mode output $40.00 - new Fast mode runs up to 2.5x faster and is available in Claude Code and the Claude Platform (research preview in Code). Context is 1 million tokens with 128K output, per the platform docs. Thinking mode cannot be disabled, and zero data retention is available as before.
Worked example for agent work, where cache reads dominate: a session that reads a 200K-token repository cache 40 times spends $1.60 on cache reads on Opus 5.5 versus $4.00 on Opus 5; a 50K-token output trace costs $1.00 versus $1.25. Combined with the verbosity cuts, real per-task savings run well past the sticker 20%.
That pits Opus 5.5 against Fable 5.1 at $10/$50 - 2.5x the price of a model Anthropic says performs at its level on most work - and against competition from below: OpenAI cut GPT-5.6 Luna 80% to $0.20/$1.20, and open-weight models keep setting a low floor for agentic coding economics.
From the archive
Sep 23, 2026 • 8 min read
Sep 22, 2026 • 7 min read
Sep 21, 2026 • 8 min read
Sep 21, 2026 • 10 min read
Opus 5.5 is available in OpenCode today as opencode/claude-opus-5-5. Install OpenCode with the official one-liner:
curl -fsSL https://opencode.ai/install | bash
Then run it, choosing an effort variant from low, medium, high, xhigh, and max:
# Long-horizon agent task at max effort
opencode run --model opencode/claude-opus-5-5 --variant max \
"find the flakiest test in this repo and explain why it fails"
# Default-effort session for a review pass
opencode --model opencode/claude-opus-5-5
The variants map to the same adaptive-thinking settings the benchmarks use, so medium is the default-effort anchor of the announcement's cost charts. The efficiency shape is the same one we broke down for the DeepSeek V4 Flash setup our own automations run: low or medium for quick edits and review passes, xhigh or max for long multi-step loops, and cache reads at $0.20 for repo-wide context.
Move to Opus 5.5 when:
Stay on Fable 5.1 or wait when:
The dominant thread is relief about writing style, delayed by skepticism. Opus 5's verbosity was a live complaint through the summer - teams describing real sessions where output was hard to follow - and the community read the communication section of the announcement as directly answering that feedback. Early hands-on impressions reported drier output, though a fair share of comments said one sample does not prove a systematic change.
The second theme is pricing and positioning confusion. Why does Fable still make sense at $10/$50 when the cheaper model claims to perform at its level on most work? The counterpoint: Fable's ceiling is the differentiation, and the price only makes sense for workloads that hit it.
The third theme is skepticism about the claim cycle itself. Commenters recalled that Opus 5 was also announced as Fable-adjacent, benchmark fatigue is real, and several said they will believe the cost-per-task charts only after running the model on their own repos.
This release is the clearest signal yet that the efficiency race outran the capability race at the frontier. When a vendor leads its launch with cost-per-task charts instead of benchmark deltas, and its pricing page shows a 2.5x gap between a model and its own flagship that it claims to match on most work, the unit that matters has shifted: cost per completed task, not benchmark score.
The 5.5 family structure matters too. Sonnet 5.5 and Haiku 5.5 follow "in coming weeks" with the same efficiency improvements, so Anthropic is applying the compression play across the whole lineup - the same playbook OpenAI is running with its Luna and Sol price cuts. Benchmark leadership alone no longer converts; cheaper, faster, clearer does.
The safety posture cuts both ways. Preserved thinking blocks a class of prompt-injection extraction, and the containment-boundary improvements are aimed directly at unattended agent runs, which improves parallel-agent economics. But safeguard rerouting means capabilities are not uniformly exposed: cyber tasks fall back to Opus 4.8 and biology to Opus 5 on the standard API. Read the system card before assuming you get the full model.
Bottom line: on Opus 5 or pricing-constrained on Fable, this is the upgrade; on a cheaper tier, wait for Sonnet 5.5 and Haiku 5.5. Run it on your own repos and compare cost per completed task.
Anthropic's new flagship-tier model, released September 22, 2026 as the first model in the Claude 5.5 family. It targets Fable 5.1-level performance on most work at 40% lower running cost than Opus 5, priced at $4/$20 per million tokens.
Install OpenCode (curl -fsSL https://opencode.ai/install | bash), then run opencode run --model opencode/claude-opus-5-5 --variant max "your task". Effort variants are low, medium, high, xhigh, and max.
Yes. Thinking cannot be disabled on Opus 5.5, per the platform what's-new documentation, and preserved thinking blocks editing prior context in API sessions.
| Source | URL |
|---|---|
| Anthropic announcement, "Introducing Claude Opus 5.5" (September 22, 2026) | https://www.anthropic.com/claude-opus-5-5 |
| Claude API pricing (fetched September 23, 2026) | https://claude.com/pricing |
| Opus 5.5 System Card | https://anthropic.com/claude-opus-5-5-system-card |
| What's new in Opus 5.5 (platform docs) | https://platform.claude.com/docs/en/models/opus-5-5/whats-new-opus-5-5 |
| Dario Amodei, "We Must Pace the Frontier" | https://darioamodei.com/post/we-must-pace-the-frontier |
| Claude Opus 5.5 announcement on X (fetched via syndication, September 23, 2026) | https://x.com/claudeai/status/2102435511222890900 |
| OpenCode docs | https://opencode.ai/docs/ |
Last updated: September 23, 2026
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