Claude Fable 5.1 is Anthropic's best model for long-context work — it scores 99/100 vs 99/100 for Claude Fable 5, at $10/1M input tokens. Across all providers, GPT-6 Astra still leads long-context work at 100/100 — worth considering if you're not committed to Anthropic.
The safest anthropic model for long context default, the cheaper option worth trying first, and the specialist pick — before you read the detail below.
Claude Fable 5.1 is the strongest answer here for anthropic model for long context — pick it when quality of output matters more than the $10.00/1M/1M input you pay for it.
Claude Opus 5 handles the same job for about 50% less per token. Start here and only move up if the output is not good enough.
Claude Fable 5 carries 1M tokens of context, so it is the pick for anthropic model for long context when whole documents, transcripts, or repositories go in at once.
Claude Fable 5.1 leads Anthropic's lineup for long-context work at 99/100 ($10/1M input, 1M context).
Claude Sonnet 5 is the value pick at $2/1M input with a long-context work score of 96/100.
GPT-6 Astra (OpenAI) is the overall long-context work leader at 100/100 if provider choice is open.
Choose Claude Fable 5.1 when long-context work quality is the priority and you're staying on Anthropic.
Choose Claude Sonnet 5 when token volume matters more than peak quality.
Teams open to other providers should also evaluate GPT-6 Astra before committing.
Switch the scoring lens to see whether the anthropic model for long context answer changes when cost, speed, or long-document depth leads the decision.
Anthropic / Premium / Sep 3, 2026
New frontier leader — better than Fable 5 on every published benchmark, and cheaper to run.
Ranks models by the broadest mix of coding, writing, research, and long-context usefulness.
You need low latency, or your workload is uncached and cost-sensitive — Claude Opus 5 is half the base price and within a few points on agentic coding.
Where the anthropic model for long context recommendation shifts once you weigh price or latency differently.
New frontier leader — better than Fable 5 on every published benchmark, and cheaper to run.
New global #1 — 80.3% SWE-Bench Pro, the most capable model generally available.
Fable 5.1 with the safeguards lifted — partner-only, 60.9% Terminal-Bench 4.0.
The frontier ceiling — same model as Fable 5, safeguards lifted, partner-only.
Best premium model for agentic coding — near-Fable 5 quality at half the price.
Best value premium coder — frontier-grade at half of Fable 5's price.
List prices and published scores — the numbers this page's pick is built from.
| Model | Input | Output | Est. month | Context | Speed | Coding | Writing | Research |
|---|---|---|---|---|---|---|---|---|
| Claude Fable 5.1Anthropic | $10.00/1M | $50.00/1M | $200 | 1M tokens | Deliberate | 100 | 98 | 100 |
| Claude Fable 5Anthropic | $10.00/1M | $50.00/1M | $200 | 1M tokens | Deliberate | 100 | 98 | 100 |
| Claude Mythos 5.1Anthropic | $10.00/1M | $50.00/1M | $200 | 1M tokens | Deliberate | 100 | 97 | 99 |
| Claude Mythos 5Anthropic | $10.00/1M | $50.00/1M | $200 | 1M tokens | Deliberate | 100 | 97 | 99 |
Scores out of 100 — how we evaluate models. “Est. month” is 10M in / 2M out at list price: a ceiling, no discounts.
Why each one is on the shortlist for anthropic model for long context, what it is genuinely good at, and where we would steer you away from it.
The default answer for anthropic model for long context — 100/100 on the coding axis, and the model we would start with unless the price below rules it out.
Anthropic's September 1, 2026 frontier release and the new capability ceiling for coding, agents, and scientific work. Base pricing is unchanged at $10/$50, but cache reads dropped 75% to $0.25/1M — roughly 25% cheaper on typical workloads and up to 45% cheaper on agentic ones. 1M context, 128K output, adaptive thinking always on.
You need low latency, or your workload is uncached and cost-sensitive — Claude Opus 5 is half the base price and within a few points on agentic coding.
The new frontier leader, and the rare upgrade that costs less than the model it replaces. Base $10/$50 pricing did not move, but a 75% cut to cache reads makes typical workloads ~25% cheaper than Fable 5 and heavily agentic ones ~45% cheaper — while more than doubling Fable 5 on agentic science and beating Opus 5 on agentic coding. If you were already on Fable 5, switching is a straight win. If you were on Opus 5 for the price, it still costs 2x on uncached tokens.
Full pricing, benchmark table and release notes on the Claude Fable 5.1 page.
The long-document choice for anthropic model for long context — the largest context window in this shortlist, so whole files go in at once.
Anthropic's new Mythos-class flagship and the most capable coding model anyone can use — 80.3% SWE-Bench Pro, an 11-point jump over Opus 4.8. 1M context, 128K output, native parallel subagents. Released June 9, 2026.
You are latency- or cost-sensitive, or your tasks don't need frontier-level reasoning — Opus 4.8 at half the price is plenty.
The strongest coding and reasoning model you can actually use today. 80.3% SWE-Bench Pro is an 11-point leap over Opus 4.8 — the biggest single-release jump of 2026. It costs 2× Opus 4.8, so use it for the hardest agentic and engineering work and keep Opus 4.8 or Sonnet for everyday volume.
Full pricing, benchmark table and release notes on the Claude Fable 5 page.
Rounds out the shortlist for anthropic model for long context at 100/100 on coding.
Fable 5.1 with the safeguards lifted — partner-only, 60.9% Terminal-Bench 4.0. Full Claude Mythos 5.1 review →
The alternative to check next for anthropic model for long context — 100/100 on coding.
The frontier ceiling — same model as Fable 5, safeguards lifted, partner-only. Full Claude Mythos 5 review →
UseRightAI recommendations are based on practical decision factors people actually feel in day-to-day use.
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Claude Fable 5.1 — it scores 99/100 on long-context work in this directory, ahead of Claude Fable 5 at 99/100. New frontier leader — better than Fable 5 on every published benchmark, and cheaper to run.
Not overall. GPT-6 Astra (OpenAI) leads the directory for long-context work at 100/100 vs Claude Fable 5.1's 99/100. Claude Fable 5.1 is the best pick if you're staying within Anthropic's ecosystem.
Claude Sonnet 5 at $2/1M input tokens (long-context work score: 96/100). Use it for volume work and reserve Claude Fable 5.1 for the tasks where quality matters most.
$10/1M input tokens and $50/1M output tokens via the API, or through Claude Pro at $20/mo for chat use. Context window: 1M tokens. On a moderate month — 10M input and 2M output tokens — that works out to about $200.00, against $40.00 for Claude Sonnet 5.
Base rates are still $10/$50 per 1M — double Claude Opus 5 for anything that is not cache-heavy. Anthropic published no SWE-bench Verified or SWE-bench Pro figure for 5.1 at launch. Concretely, avoid it if you need low latency, or your workload is uncached and cost-sensitive — Claude Opus 5 is half the base price and within a few points on agentic coding. If none of that is negotiable, GPT-6 Astra (OpenAI) is the cross-provider leader at 100/100.
agentic scientific research — 52.6% on Terminal-Bench-Science 0.1, more than double Fable 5's 24.7%, long-running autonomous coding agents that plan, run, and debug across a whole repository, and cache-heavy agent loops where the 75% cache-read cut ($1.00 → $0.25 per 1M) is the real saving. Its 1M-token context window is the practical limit on how much you can hand it in one go.
Claude Fable 5.1 scores 99/100 on long-context work against 96/100 for Claude Sonnet 5, at 5x the input price. That premium is worth it on work where a wrong answer costs real time or money, and hard to justify on high-volume, low-stakes calls. Most teams run both and route by task rather than picking one.