TECHNICAL DEEP DIVE

Claude Mythos 5.1 for Product Managers: Cache Pricing, Benchmarks, and What Changed

By Institute of AI PM·12 min read·Sep 28, 2026

TL;DR

Anthropic released Claude Mythos 5.1 and Fable 5.1 on September 1, 2026. The headline change is a 75% reduction in cache read pricing: from $1.00 to $0.25 per million tokens. That translates to roughly 25% lower cost on typical workloads and up to 45% on agentic pipelines that make heavy use of prompt caching. The model itself received a meaningful benchmark improvement, hitting 52.6% on Terminal-Bench-Science. Access remains restricted to approved Project Glasswing partners. If you are already running Mythos 5, the migration to 5.1 is a model ID swap with no prompt changes required. If you are not a Glasswing partner, Fable 5.1 carries the same cache pricing reduction with full general availability.

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What Changed from Mythos 5 to Mythos 5.1

Anthropic released Claude Mythos 5.1 on September 1, 2026, alongside Claude Fable 5.1. Both are point releases to the Mythos-class frontier model family introduced in June 2026. The version increment signals meaningful improvements rather than a full generational upgrade.

The two changes that matter most for product teams are cache pricing and benchmark performance. The core specs are unchanged: a 1 million token context window, 128,000 token maximum output, and $10 per million input tokens plus $50 per million output tokens. Adaptive thinking remains always on. Access to Mythos 5.1 still requires approval through Project Glasswing, Anthropic's restricted partner program.

Cache read pricing cut 75%

Before: $1.00 per million cache read tokens (Mythos 5)

After: $0.25 per million cache read tokens (Mythos 5.1)

Impact: 25% reduction on typical workloads, up to 45% on agentic pipelines with high cache utilization.

Terminal-Bench-Science benchmark

Before: Mythos 5 did not report this benchmark at launch

After: 52.6% on Terminal-Bench-Science (Mythos 5.1)

Impact: Establishes Anthropic's leadership position on science and software tool-use tasks at the frontier.

Model ID update

Before: claude-mythos-5-20260601 (Mythos 5)

After: claude-mythos-5-1-20260901 (Mythos 5.1)

Impact: Drop-in replacement. No prompt changes required. Switch the model ID and rerun your eval suite.

According to VentureBeat's coverage of the launch, Anthropic measures the 75% cache pricing reduction as roughly 25% lower cost on typical workloads and up to 45% on agentic ones, where prompt caching does more of the heavy lifting.

Cache Economics: Why 75% Off Changes the Agentic Cost Model

Prompt caching stores a model's intermediate computation state for a fixed portion of a prompt, typically a large system prompt or a shared document corpus. Subsequent calls that reuse the cached prefix pay the cache read rate rather than the full input token rate. For workloads with stable system prompts and repeated context, caching cuts the effective input cost by a substantial fraction.

The economics matter most for agentic pipelines. An agent that executes a 10-step task passes the same base context (system prompt, tool definitions, document corpus) on every step. Without caching, each step pays full input token rates. With caching, only the new content in each step is billed at full rate. The cache read rate covers everything that is reused.

10-step research agent

Context: 100K token system prompt plus tools, stable across all steps

Mythos 5 cost: 10 steps x 100K tokens x $10/Mtok = $10.00 per run

Mythos 5.1 cost: Step 1: $1.00 (cold cache), Steps 2-10: 9 x $0.025 = $0.225. Total: ~$1.23 per run

88% reduction on the cached portion of a 10-step run

Drug discovery pipeline

Context: 50K token document corpus loaded per query, 1,000 queries per day

Mythos 5 cost: 1,000 x 50K x $10/Mtok = $500/day in context costs alone

Mythos 5.1 cost: $0.50 for initial cache write, then 999 x 50K x $0.25/Mtok = $12.49/day

97.5% reduction on the stable corpus at scale

The practical implication: agentic pipelines that were cost-prohibitive at Mythos 5 pricing become viable at 5.1 rates. If your team evaluated Glasswing access and deferred because of inference economics, the 5.1 pricing revision changes the calculation for high-volume research and security workflows.

Terminal-Bench-Science: What 52.6% Means for PMs

Terminal-Bench-Science is a benchmark suite that evaluates frontier models on their ability to complete long-horizon scientific and software engineering tasks using terminal access. Tasks require models to autonomously navigate file systems, run code, call scientific libraries, and validate results across multi-step sequences, with no human assistance.

Mythos 5.1 scores 52.6% on this benchmark. The benchmark design intentionally targets the boundary of what current frontier models can do: tasks are selected so that no model scores above 60%, which makes the 52.6% result a meaningful leadership position rather than a saturated metric.

1

Long-horizon autonomous tasks are now viable at quality

A 52.6% completion rate on Terminal-Bench-Science tasks means the model can handle complex multi-step scientific workflows autonomously at a success rate that makes agentic deployment practical for many use cases. Error recovery and human checkpoints are still required, but the baseline capability is there.

2

Scientific discovery pipelines have a new ceiling

For biotech, pharma, and materials science product teams with Glasswing access, this benchmark improvement is the headline. It indicates better reasoning across scientific literature, code execution, and hypothesis testing than Mythos 5 could provide.

3

Agentic coding quality for security work improved

Terminal-Bench-Science tasks include software engineering across complex codebases. Better performance here translates to higher-quality output for the offensive security workflows that Glasswing partners use Mythos for, particularly multi-step exploit analysis and patch generation.

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Updated Claude Model Stack: Where 5.1 Fits

The 5.1 release updates the cost profile for the top two tiers of the Claude model family. The pricing below reflects September 2026 rates, including the 5.1 cache pricing changes. Fable 5.1 carries the same 75% cache read reduction as Mythos 5.1 and is generally available without Glasswing approval.

Mythos 5.1

$10/Mtok in$50/Mtok out$0.25/Mtok cache

Access: Restricted (Project Glasswing)

Authorized cybersecurity research, pharmaceutical discovery pipelines, advanced scientific work with institutional oversight

Fable 5.1

$10/Mtok in$50/Mtok out$0.25/Mtok cache

Access: Generally available

Complex long-horizon tasks, enterprise flagship features, autonomous agents where Mythos-class reasoning is required and classifiers are not blocking

Opus 5

$5/Mtok in$25/Mtok outNot updated cache

Access: Generally available

Enterprise-grade reasoning at half the Fable/Mythos price, supports Fast Mode

Sonnet 5

$3/Mtok in$15/Mtok outStandard rates cache

Access: Generally available (default for Free and Pro)

Production inference at scale, everyday coding, document analysis, cost-optimized AI features

Haiku 4.5

$1/Mtok in$5/Mtok outStandard rates cache

Access: Generally available

High-volume classification, extraction, summarization tasks where cost is the primary constraint

Migration from Mythos 5: What You Need to Do

For existing Glasswing partners already running Mythos 5, the migration to 5.1 is straightforward. The architecture is unchanged: same context window, same output limit, same input and output pricing, same adaptive thinking behavior. The only breaking surface is the model identifier.

1

Update the model ID

Replace claude-mythos-5-20260601 with claude-mythos-5-1-20260901 in your API calls. No other parameter changes are required.

2

Re-run your evaluation suite

Even in a drop-in upgrade, behavioral changes can emerge. Run your full eval suite against 5.1 before cutting production traffic over. Most teams report equivalent or better performance with no prompt changes.

3

Validate cache hit rates

The cache pricing changed but the caching mechanism did not. Verify your existing prompt caching setup is working correctly with the 5.1 model ID before relying on the cost reduction in your budget projections.

4

Update cost models

Your inference cost projections and product economics should be updated to reflect the $0.25/Mtok cache read rate. For agentic pipelines with high cache utilization, this is a significant revision.

Do You Need Mythos 5.1 Specifically?

The decision framework for Mythos 5.1 differs depending on where you are starting from.

Already a Glasswing partner on Mythos 5

Upgrade to 5.1 now. The cache pricing reduction is immediate cost savings with no tradeoffs. Run your evals, update your model ID, update your cost projections.

Evaluating Glasswing access for the first time

The 5.1 pricing revision makes the economics better. If your use case requires Mythos-class capabilities without Fable 5.1 classifiers, 5.1 is the right application target. Start with the Fable 5.1 classifier audit before applying.

Running Fable 5 today

Upgrade to Fable 5.1 for the same cache pricing benefit without needing Glasswing access. Fable 5.1 carries the identical $0.25/Mtok cache read rate and is generally available.

Not using Anthropic models yet

The Mythos 5.1 and Fable 5.1 cache pricing improvements make the Claude family more competitive for agentic workloads. Benchmark your target use case against the current model stack before committing.

The model ID update and cache pricing change are the full scope of what is new in Mythos 5.1. The restricted access model, use case profile, and benchmark leadership in cybersecurity and life sciences remain as documented for Mythos 5. The AWS Bedrock model card for Mythos 5.1 confirms the 1M context window and 128K output limit are unchanged.

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