Claude Opus 4.1

GA

by Anthropic · Claude 4 family · best for legacy snapshot, maintenance only

ReasoningCodingMultimodal
5.5
AI Panel Score
Value 2.5/10

Claude Opus 4.1, released August 5, 2025, is the oldest Claude Opus model still GA — a drop-in upgrade to Opus 4 with better multi-file refactoring and detail tracking, but at the legacy $15/$75 price that Opus 4.5 cut to $5/$25 three months later. For a buyer, the single sentence is this: a competent but obsolete model with no cost-quality case for new work, since every newer Opus (4.5, 4.6, 4.7) is both cheaper and better — keep it only for snapshot-pinned compliance or reproducibility needs.

What's new

  • vs Opus 4: drop-in replacement at the same pricing at the time.
  • Improved multi-file code refactoring.
  • Stronger detail tracking for research and data analysis.
  • SWE-bench Verified raised from ~72.5% (Opus 4) to 74.5%.
  • Partners (GitHub, Rakuten, Windsurf) reported measurable real-world coding improvements at release.

Benchmarks

BenchmarkScoreSource
MMLU88.8%datacamp.com 2025-08-05T00:00:00.000Z
MMMU77.1%datacamp.com 2025-08-05T00:00:00.000Z
LMArena Elo1425openlm.ai 2026-05-28T00:00:00.000Z
GPQA Diamond80.9%llm-stats.com 2025-08-05T00:00:00.000Z
LMArena Coding Elo1475openlm.ai 2026-05-28T00:00:00.000Z
SWE-bench Verified74.5%anthropic.com 2025-08-05T00:00:00.000Z
Artificial Analysis Index33artificialanalysis.ai 2025-08-05T00:00:00.000Z

AI Panel Review

Six personas, six verdicts — the same panel that reviews every product on TopReviewed.

Decision Maker5/10
There is no strategic case for new deployment on Opus 4.1 — it's a maintenance-only target in mid-2026.

For a decision maker in mid-2026, Opus 4.1 is maintenance-only. The November 2025 Opus 4.5 release cut the tier price 3x while raising capability; 4.6 added 5x context; 4.7 added an agentic-coding lift at the same price. There is no strategic argument for new deployment on 4.1. Continued use is reasonable only in narrow compliance or reproducibility scenarios where a pinned snapshot is contractually required. The migration plan should target Opus 4.7 with a Sonnet 4.6 fallback for cost-sensitive routes.

Strategic Fit 4Vendor Risk 6Roadmap Confidence 6
Pros
  • Stable pinned snapshot
  • mature
Cons
  • 3x price, weaker, small output cap
Right for: snapshot-pinned compliance
Avoid if: any new build
Domain Strategist5.5/10
Opus 4.1's only remaining role is as the 'before' in Anthropic's price-cut story — a baseline, not a contender.

In market terms, Opus 4.1 is now mostly a reference point: the $15/$75 baseline that made Opus 4.5's 3x cut look dramatic. It validated Anthropic's coding direction with named partners (GitHub, Rakuten, Windsurf), which had strategic value at the time, but it holds no current differentiation. Its niche popularity tier reflects reality — it persists only where snapshot-pinning or contract terms keep it alive. Strategically there is nothing to position around.

Competitive Positioning 5Differentiation 4Market Timing 5
Pros
  • Historical baseline
  • partner-validated
Cons
  • No live differentiation
  • obsolete pricing
Right for: nothing new
Avoid if: you want a competitive model
Finance Lead4/10
The most expensive supported Claude at $15/$75 — three times the price of better models. Finance should drive it out.

Opus 4.1 is the most expensive currently-supported Claude at $15/$75, three times the rate of 4.5/4.6/4.7, and even its batch rate ($7.50/$37.50) is 3x Opus 4.7's batch. There is no scenario where 4.1 wins on cost-to-quality against any newer Opus generation, and its writing quality is broadly comparable to Sonnet 4.6 at $3/$15. Finance should actively drive migration off 4.1 wherever it remains in production — the value-per-dollar is the worst in the set.

Cost Efficiency 3Pricing Transparency 8Value per Dollar 2
Pros
  • Transparent (if high) pricing
Cons
  • 3x cost for worse output
  • indefensible TCO
Right for: nothing on cost grounds
Avoid if: budget matters at all
Domain Practitioner5/10
The 32k output cap alone disqualifies it for modern agent work — start on 4.7, not here.

Developers building today should not start on Opus 4.1. The 32k max output cap alone is a meaningful constraint relative to the 128k on 4.6/4.7, SWE-bench Verified 74.5% is well below 4.5's 80.9%, and the per-token cost is 3x higher. For existing 4.1 integrations the migration path to 4.7 is the right one; the minor prompt re-tuning is a small cost relative to the capability and cost delta. Tool use is the same shape across the family, so migration is mostly validation, not rebuild.

API Ergonomics 8Tool/Agent Support 8Reliability 8.5
Pros
  • Familiar API
  • reliable
Cons
  • 32k output cap
  • weaker coding
  • 3x cost
Right for: maintaining legacy integrations
Avoid if: building anything new
Power User6/10
On casual chat it still feels fine — but the cost behind it is impossible to justify versus newer models.

For an end user, the experience on Opus 4.1 is similar to newer Opus models on casual chat. Latency is moderate-to-slow. The user-visible gaps appear on hard reasoning, vision detail, and very long sessions, where 4.6 and 4.7 are meaningfully better, and the 32k output cap can truncate long generations. Refusal calibration is slightly older-generation. The January 2025 reliable cutoff is now well over a year stale. There is no reason to route a consumer experience to 4.1 given the cost.

Output Quality 7Speed 6Everyday Usefulness 6
Pros
  • Competent chat
  • mature
Cons
  • Dated cutoff
  • output cap
  • cost
Right for: nothing consumer-facing
Avoid if: cost or freshness matters
Skeptic5/10
A year-old model at triple the price of better successors — the clearest 'do not buy new' in the Claude lineup.

There is little to debunk because Anthropic does not market Opus 4.1 as current — it is openly a legacy model. The honest skeptical verdict is simply that it is dominated on every axis that matters: 3x the price of 4.5/4.6/4.7, a smaller 32k output cap, weaker SWE-bench, a dated January 2025 cutoff, and only secondary-source benchmark coverage (reflected in the medium research confidence). Its one genuine merit is as a pinned, reproducible snapshot for compliance — a real but narrow use. For everyone else, it is the clearest "do not buy new" in the Claude lineup.

Claim Accuracy 7Weakness Severity 4Hype vs Reality 7
Pros
  • Not over-marketed
  • valid as a snapshot
Cons
  • Dominated on price and capability
  • thin public data
Right for: skeptics needing a frozen reference model
Avoid if: you have any newer option (you do)

Strengths

  • Stable, mature model with extensive partner validation (GitHub, Rakuten, Windsurf).
  • Strong multi-file code refactoring at its release.
  • Robust detail tracking on long research and analysis tasks.
  • Long production runway means well-known prompt patterns.
  • Available as a pinned snapshot for reproducibility/compliance needs.

Limitations

  • 3x the input price of Opus 4.5/4.6/4.7 ($15 vs $5) with worse benchmarks — no cost-quality case for new builds.
  • 32k max output is materially smaller than the 128k on Opus 4.6/4.7.
  • 200k context only.
  • January 2025 reliable knowledge cutoff is meaningfully dated.
  • Anthropic recommends migration to a newer Opus generation.

Best use cases

  • Maintenance of existing Opus 4.1 integrations where prompt and behavior stability is a hard requirement and budget can absorb 3x the per-token cost.
  • Enterprise contracts that committed to a specific model snapshot for compliance or reproducibility.

Deep dive

The full research notes behind this review — verified against primary sources.

Architecture

Anthropic discloses no parameter count, layer count, or attention mechanism — null/unknown. Disclosed: a 200k-token context window, a 32k max output (materially smaller than the 128k on Opus 4.6/4.7), and extended thinking with token budgets (up to 64k). It uses the standard pre-4.7 Claude tokenizer. Opus 4.1 is a point upgrade over Opus 4 rather than a new architecture.

Capabilities

Coding (8.3): SWE-bench Verified 74.5%, LMArena coding Elo 1475 — solid for 2025, well behind every newer Opus. Reasoning (8.3): GPQA Diamond ~80.9%, MMLU 88.8%, AA Index ~33. Math (8.0): AIME class strong but no clean 2025 figure published for 4.1 specifically. Agentic/tool use (8.0): full first-party tool suite; agentic benchmarks predate the big Opus 4.5/4.6 jumps. Long-context (7.5): 200k window. Multilingual (8.5): broad coverage. Vision (8.3) and document/OCR (8.0): MMMU ~77.1%. Instruction-following (8.3): good for its generation. Function-calling (8.5): robust. Safety calibration (9.0): ASL-3, mature though older-generation refusal behavior. Realtime-data (6.5): January 2025 cutoff is the oldest among current Opus models; web search/fetch mitigate.

Benchmark analysis

Benchmark Score vs Predecessor vs Successor Source
SWE-bench Verified 74.5% +2.0 vs Opus 4 (72.5%) behind Opus 4.5 (80.9%) Anthropic
GPQA Diamond 80.9% improved vs Opus 4 (79.6%) behind Opus 4.5 (87.0%) llm-stats
MMLU 88.8% ~flat vs Opus 4 behind Opus 4.5 (90.8%) DataCamp
MMMU 77.1% improved behind Opus 4.5 (80.7%) DataCamp
LMArena Elo 1425 improved behind Opus 4.5 (1468) OpenLM
LMArena Coding Elo 1475 improved behind Opus 4.5 (1510) OpenLM
Artificial Analysis Index ~33 improved behind Opus 4.5 (43) AA

(MMLU-Pro, AIME 2025, MATH-500, HumanEval, LiveCodeBench, Aider Polyglot, IFEval, BBH, Tau-bench, Terminal-Bench, MRCR, SimpleQA, HLE carry no clean published Opus-4.1 figure and are null. GPQA Diamond and AA Index figures are from secondary aggregators, hence medium research confidence.)

Speed & latency

Output speed is roughly ~45 tokens/sec with time-to-first-token near ~1.8s — slow tier, consistent with the Opus family. The 32k max output cap also constrains very long single-pass generations relative to the 128k on Opus 4.6/4.7. It is a deliberate model, but with none of the latency or efficiency improvements of later Opus generations.

Pricing analysis

Surface Cost Notes
API input $15 / 1M tok 3x newer Opus generations
API output $75 / 1M tok 3x newer Opus generations
Cached input (read/hit) $1.50 / 1M tok 0.1x base
Cache write (5m / 1h) $18.75 / $30 per 1M tok 1.25x / 2x base
Batch (in/out) $7.50 / $37.50 per 1M tok 50% off both; still 3x Opus 4.7 batch
Web search tool $10 / 1,000 searches plus token costs
Direct UI $20/mo Pro · $100/mo Max 5x · $200/mo Max 20x claude.ai
Free tier none for Opus on API one-time API trial credits only
Rate limits Tiered (Tier 1–4 + Enterprise) Priority Tier supported

Deployment & access

Proprietary, no open weights or self-hosting. First-party via the Claude API and Claude Platform on AWS, plus Amazon Bedrock, Google Vertex AI, and Microsoft Foundry. Opus 4.1 predates the 4.5-generation global/regional endpoint split and the inference_geo parameter, so it always uses standard routing. Data residency options are more limited than on 4.5+ models.

Safety & privacy

Governed by Anthropic's RSP v3.0 and deployed under ASL-3 protections (ASL-3 was activated with the Opus 4 generation, of which 4.1 is a point release). No training on API inputs by default; opt-out and zero-retention available. Compliance: SOC 2 Type II, ISO 27001:2022, ISO/IEC 42001:2023, HIPAA (BAA available), GDPR. Refusal calibration is mature but reflects an older generation than 4.5+. No forced content-moderation classifier.

Ecosystem & tooling

SDKs in Python, TypeScript, Java, Go, Ruby, and C#. Works with the Claude Agent SDK, Claude Code, LangChain, LlamaIndex, Vercel AI SDK, and Pydantic AI; validated at release with GitHub, Rakuten, and Windsurf. Popularity is niche and declining, persisting mainly in snapshot-pinned deployments.

Buyer questions

Is there any reason to use Opus 4.1 today?

Only to maintain a snapshot-pinned integration for compliance or reproducibility; otherwise no.

Why is it 3x the price of newer Opus models?

It predates the November 2025 Opus 4.5 price reset that cut the tier to $5/$25.

What is the migration target?

Opus 4.7 for capability, or Sonnet 4.6 for a 5x cheaper option with comparable writing quality.

How hard is migration?

Mostly prompt validation — tool use and API shape are consistent across the family; expect minor re-tuning.

Is it secure for enterprise?

Yes — no training on inputs, SOC 2 Type II, ISO 27001/42001, HIPAA BAA, GDPR; ASL-3.

What changed from Opus 4?

Better multi-file refactoring and detail tracking, and SWE-bench Verified from ~72.5% to 74.5%.

Comparable models

Claude Opus 4.5: Direct successor; 1/3 the price ($5/$25), better benchmarks, the natural migration target for cost.
Claude Opus 4.7: Current flagship; same $5/$25 as 4.5/4.6 with the agentic-coding lift — the right new-build target.
Claude Sonnet 4.6: Lower-tier alternative; 1/5 the price ($3/$15) with comparable writing quality for most tasks.

Sources

Primary references used to verify this review.

Model specs

Input price
$15 / Mtok
Output price
$75 / Mtok
Cached input
$1.50 / Mtok
Batch (in/out)
$7.50 / $37.50
Context window
200K tokens
Max output
32K tokens
Knowledge cutoff
2025-01
Released
2025-08-04
Modalities
text, image → text
Output speed
~45 tok/s
License
Proprietary
Clouds
Bedrock, Vertex AI, Azure AI Foundry

Does not train on API inputs by default

Last verified 2026-05-27