Claude Fable 5.1 is Anthropic's best model for coding — it scores 100/100 vs 100/100 for Claude Mythos 5.1, at $10/1M input tokens. Across all providers, GPT-6 Astra still leads coding at 100/100 — worth considering if you're not committed to Anthropic.
The safest anthropic model for coding 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 coding — pick it when quality of output matters more than the $10.00/1M/1M input you pay for it.
Claude Opus 4.8 handles the same job for about 50% less per token. Start here and only move up if the output is not good enough.
Claude Mythos 5.1 is the fastest of these for anthropic model for coding — worth it when latency is what the reader notices, not the last few points of reasoning depth.
Claude Fable 5.1 leads Anthropic's lineup for coding at 100/100 ($10/1M input, 1M context).
Claude Sonnet 5 is the value pick at $2/1M input with a coding score of 98/100.
GPT-6 Astra (OpenAI) is the overall coding leader at 100/100 if provider choice is open.
Choose Claude Fable 5.1 when coding 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 coding 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 coding recommendation shifts once you weigh price or latency differently.
New frontier leader — better than Fable 5 on every published benchmark, and cheaper to run.
Fable 5.1 with the safeguards lifted — partner-only, 60.9% Terminal-Bench 4.0.
New global #1 — 80.3% SWE-Bench Pro, the most capable model generally available.
The frontier ceiling — same model as Fable 5, safeguards lifted, partner-only.
Best value premium coder — frontier-grade at half of Fable 5's price.
Best premium model for agentic coding — near-Fable 5 quality at half the 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 Mythos 5.1Anthropic | $10.00/1M | $50.00/1M | $200 | 1M tokens | Deliberate | 100 | 97 | 99 |
| Claude Fable 5Anthropic | $10.00/1M | $50.00/1M | $200 | 1M tokens | Deliberate | 100 | 98 | 100 |
| 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 coding, what it is genuinely good at, and where we would steer you away from it.
Our pick for anthropic model for coding. It scores 100/100 on the coding axis we weight this page by, and nothing else in this shortlist matches it on output quality.
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.
Here for latency: it answers fastest of anything listed for anthropic model for coding, at 100/100 on coding.
The unrestricted twin of Claude Fable 5.1 — the same model with safeguards lifted in high-risk areas, released September 1, 2026 to vetted cybersecurity and life-sciences organisations under Anthropic's trusted-access programme. Scores 60.9% on Terminal-Bench 4.0, the highest agentic-coding result Anthropic has published.
You don't hold vetted trusted access, or your work never trips Fable 5.1's safeguards — the two models are otherwise identical.
The highest published agentic-coding score anywhere — 60.9% on Terminal-Bench 4.0 — but you almost certainly cannot get it. Mythos 5.1 is Fable 5.1 with safeguards lifted, gated to vetted cybersecurity and life-sciences organisations. Unless you hold trusted access and hit refusals that block real research, Fable 5.1 is the same model at the same price.
Full pricing, benchmark table and release notes on the Claude Mythos 5.1 page.
Also worth a look for anthropic model for coding, at 100/100 on the coding axis.
New global #1 — 80.3% SWE-Bench Pro, the most capable model generally available. Full Claude Fable 5 review →
The alternative to check next for anthropic model for coding — 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.
Newsletter
We email when the anthropic model for coding pick changes, when one of these models moves on price, or when something new displaces the current leader.
No spam. Useful updates only. Affiliate disclosures always clearly labeled.
Claude Fable 5.1 — it scores 100/100 on coding in this directory, ahead of Claude Mythos 5.1 at 100/100. 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 coding at 100/100 vs Claude Fable 5.1's 100/100. Claude Fable 5.1 is the best pick if you're staying within Anthropic's ecosystem.
Claude Sonnet 5 at $2/1M input tokens (coding score: 98/100). 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 100/100 on coding against 98/100 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.