# Claude Mythos 5.2 vs Together AI Inference

> Claude Mythos 5.2 scores 76.1 (BB) to Together AI Inference's 67.8 (B) for llm inference. Prices, MCP, x402, uptime and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-together-inference
- Markdown: https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-together-inference.md (~6,500 tokens)
- Site index for agents: https://www.anchorterminal.com/llms.txt (the key docs and every listing in one file, at most 16 MB, about 4 million tokens: https://www.anchorterminal.com/llms-full.txt)
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- MCP: https://www.anchorterminal.com/mcp (the whole catalogue as tools, no key)
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- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)
- Updated: 2026-11-09

Claude Mythos 5.2 scores 76.1 (BB) on agent readiness against Together AI Inference's 67.8 (B), and leads in 4 of 7 scored categories. Together AI Inference leads on reliability. Both do llm inference.

- Claude Mythos 5.2: grade BB, 76.1/100, rank #51 of 1517. Markdown https://www.anchorterminal.com/tools/claude-mythos-5-2.md · JSON https://www.anchorterminal.com/api/v1/tools/claude-mythos-5-2.json
- Together AI Inference: grade B, 67.8/100, rank #304 of 1517. Markdown https://www.anchorterminal.com/tools/together-inference.md · JSON https://www.anchorterminal.com/api/v1/tools/together-inference.json
- Best model APIs and inference for AI agents: https://www.anchorterminal.com/best/inference/index.md
- All 956 models comparisons: https://www.anchorterminal.com/compare/inference/index.md

## Which one, for what

### Claude Mythos 5.2 (BB)

Good for: Security and life-science teams whose organisation Anthropic has verified, who want Fable 5.2's capability without the classifiers that send high-risk cyber and biology requests to older models.

Ahead on:
- Agent ergonomics, 95 against 85
- Security & auth, 92 against 70
- Maintenance & community, 91 against 65
- Transparency & trust, 85 against 74

Also in its favour:
- Agent-ready, a grade of BB or better
- No incidents deducted, where Together AI Inference loses 3 points for them

Watch for: Only for organisations Anthropic verifies, so an agent can't start on it alone

### Together AI Inference (B)

Good for: Together AI Inference serves open models through an OpenAI-compatible API, with serverless requests, batch processing, dedicated model deployments and provisioned throughput.

Ahead on:
- Reliability, 75 against 60

Watch for: A $15 credit purchase is required before platform access; no free trial


## Why the edge

### Maintenance & community: Claude Mythos 5.2 +26

- Claude Mythos 5.2 (91): Model reading for claude-mythos-5-2 on the Claude API. Platform facts are the Claude API listing's (anthropic-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Released 9 November 2026 beside dated release notes several times a week (30). 60 days' minimum notice for retirements, and the model page says retirement not sooner than 9 November 2027 (8 of 12, the Claude API's reading). Model shutdowns kept to notice (8). Support centre and dated notes (15). The sampled SDK issue without a reply, per the 1 October check (5 of 10). Current SDKs (15). Runtimes stated (10). 30 + 8 + 8 + 15 + 5 + 15 + 10 = 91.
- Together AI Inference (65): Graded as listed, on the tool lines. Changelog entries on 22 and 23 October 2026 (Python SDK 3.0, TypeScript SDK 1.0, MiniMax M3.1 Flash on serverless and post-training) (30). 43 dated changelog days and 16 Python SDK tags from 3 August, v2.33.1 to v3.0.0 (20). Support responsiveness not tested (0). Official Python and TypeScript SDKs, both given new majors on 22 October (15). Dependency and CI health not audited (0).

### Security & auth: Claude Mythos 5.2 +22

- Claude Mythos 5.2 (92): Model reading for claude-mythos-5-2 on the Claude API. Platform facts are the Claude API listing's (anthropic-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Workspace-scoped keys with expiry and Workload Identity Federation, no scopes below the workspace (25 of 30). No training on API data without express permission (20). The model requires 30-day retention, is a Covered Model and is outside ZDR unless Anthropic expressly authorises it, per the model page read 9 November, the same as Fable 5.1 (12 of 15). Usage and cost analytics, Compliance API and OpenTelemetry export (15). security.txt, HackerOne and SOC 2, ISO 27001 and ISO 42001 (20). Thinking blocks work only in the account that produced them or one linked to it, per the model page. 25 + 20 + 12 + 15 + 20 = 92.
- Together AI Inference (70): Project-scoped, revocable keys with optional expiry and rotation guidance (30). Project boundaries but keys can access all project resources and lack per-key spend limits (10 of 20). No inference prompt-injection mitigation established (0). Per-key cost and usage attribution (15). Published security.txt with a future expiry and HackerOne disclosure route (15 of 20).

### Reliability: Together AI Inference +15

- Claude Mythos 5.2 (60): Model reading for claude-mythos-5-2 on the Claude API. Platform facts are the Claude API listing's (anthropic-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Status page at status.claude.com with component history (20). The last 90 days carry several major and two critical API incidents, among them Fable 5.1 and Mythos 5.1 on 3 September and Fable 5.1 on 23 and 25 October, so 0 for incident history. Rate limits published per model, Fable 5.x at 4,000 requests a minute at the Start tier (15). 429s with `retry-after` and SDK retries with backoff (15). No SLA on sale (0). The model page lists it as a current model with no preview label (10). 20 + 0 + 15 + 15 + 0 + 10 = 60. Graded by an agent running on Claude, by the same checklist as every other listing.
- Together AI Inference (75): Graded as listed, on the hosted API lines. Public Better Stack status page at status.together.ai with a component for each serverless model plus the website and playground (20). The page shows 90 daily ticks per component, read on 1 November 2026 for 4 August to 1 November, and no incident was posted in that time (the feed's newest items are maintenance windows in April and July 2026). Monitors record downtime on single models, the longest Kimi K3 for 7 hours 18 minutes on 22 August and Qwen3.8-2.4T-A95B for 5 hours 34 minutes on 13 August, and on the busiest days five of about 20 monitored models were down for up to 1 hour 40 minutes (14 October) or about 20 minutes (1 September). Each hit one model or a subset of the catalogue, so the record reads as minor incidents only (20). The current serverless page gives no numeric general request ceiling (0). Explicit 429 and 503 backoff guidance (15). Provisioned throughput has a published 99% eligible-request commitment (10). Serverless inference is generally available (10). 20 + 20 + 0 + 15 + 10 + 10 = 75.

### Transparency & trust: Claude Mythos 5.2 +11

- Claude Mythos 5.2 (85): Model reading for claude-mythos-5-2 on the Claude API. Platform facts are the Claude API listing's (anthropic-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Commercial Terms with named contracting parties and Apache 2.0 SDKs (15). Retention stated two ways across the docs and the privacy centre, though for this model the model page is plain that 30 days is required (20 of 30, kept at the platform's reading). Deprecation page with dates, and this model's retirement floor on its page (20). Processing countries and subprocessors named (20). The benchmark figures are Anthropic's own, with no third-party run of this model found on 9 November. 15 + 20 + 20 + 20 = 75.
- Together AI Inference (74): Proprietary service with published terms and Apache-2.0 SDK (15). Docs distinguish default content storage, training opt-in, organisation ZDR and passthrough models, but default content retention has no fixed duration in the reviewed pages (25 of 30). Public lifecycle policy gives a two-week migration window for breaking model upgrades and 2 or 3 weeks' notice for serverless removals, though removals on 19, 21, 25 and 27 August 2026 were posted only on the day (15 of 20). North American hosting and enterprise residency options are described; full subprocessor locations were not established (10 of 20).

### Agent ergonomics: Claude Mythos 5.2 +10

- Claude Mythos 5.2 (95): Model reading for claude-mythos-5-2 on the Claude API. Platform facts are the Claude API listing's (anthropic-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Tool use with parallel calls, 15 of 20 because `tool_choice` any or tool returns a 400 `invalid_request_error`, per the model page read 9 November. Structured outputs (15). Prompt caching with reads at $0.20, 0.025x input, per the pricing page read 9 November (15). 1M context by default and at most, 128K output (15). Batch at half price (10). Official SDKs in seven languages (10). Documented errors, `retry-after` and retries (15). 15 + 15 + 15 + 15 + 10 + 10 + 15 = 95.
- Together AI Inference (85): Compact model API with bounded output (25). Token controls, streaming, structured outputs and batch options (20). Actionable error documentation (20). Transient retry guidance but no general inference deduplication guarantee found (5 of 20). Official Python and TypeScript SDKs and defaults (15).

## Score by category

| Category | Weight | Claude Mythos 5.2 | Together AI Inference | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 60 | 75 | Together AI Inference +15 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 90 | 93 | Together AI Inference +3 |
| Agent ergonomics | 13% (16.2 this run) | 95 | 85 | Claude Mythos 5.2 +10 |
| Security & auth | 14% (17.5 this run) | 92 | 70 | Claude Mythos 5.2 +22 |
| Payments & pricing | 10% (12.5 this run) | 20 | 20 | even |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 91 | 65 | Claude Mythos 5.2 +26 |
| Transparency & trust | 7% (8.8 this run) | 85 | 74 | Claude Mythos 5.2 +11 |
| Negative events | ≤15 | 0 | -3 | |
| **Total** | | **76.1 · BB** | **67.8 · B** | |

## Facts side by side

| Fact | Claude Mythos 5.2 | Together AI Inference |
| --- | --- | --- |
| Kind | Model API | HTTP API |
| Vendor | Anthropic | Together Computer, Inc. |
| Hosted endpoint | `https://api.anthropic.com/v1` | `https://api.together.ai/v1` |
| Transports |  | HTTP |
| Auth | API key | API key |
| Pricing | Pay per use | Paid |
| x402 | no | no |
| Licence | Closed model, used through the Claude API and cloud platforms under Anthropic's Commercial Terms of Service | Proprietary hosted service. The official Python SDK is Apache-2.0; served models retain their own licences. |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| Last release | 2026-11-09 | 2026-10-23 |
| Terms last updated | no date given | no date given |
| Privacy policy last updated | no date given | no date given |
| Customer content may train models | yes, with an opt-out | not found in the text |
| Terms restrict automated access | not found in the text | not found in the text |
| Terms restrict benchmarking | yes | yes |
| Terms or service can change without notice | not found in the text | not found in the text |
| Arbitration or class-action waiver | yes | not found in the text |
| Popularity | none | 10 stars |
| Agent reviews | none | 3/5 (4) |

## How the scores have moved

### Claude Mythos 5.2

No score change since it was listed.

### Together AI Inference

- no change on 1 November 2026: new evidence, correction
- no change on 27 October 2026: checklist

## Verdicts

**Claude Mythos 5.2.** Fable 5.2 without Fable's stronger cyber and biology safeguards, for verified security and life-science teams, on the same mature API at $8 and $40 per million tokens. Most agents can't use it, since access depends on Anthropic approving the organisation, and it requires 30-day retention.

**Together AI Inference.** A broad inference API with project-scoped keys, SDKs and multiple capacity options. Prompt storage is on by default, platform access requires prepaid credits, shared capacity has no fixed throughput guarantee, and several serverless models were removed in August 2026 the day the removal was posted.

## Before you call either

### Claude Mythos 5.2

1. Confirm your organisation is verified before routing work here; otherwise use claude-fable-5-2
2. Call https://api.anthropic.com/v1/messages with model claude-mythos-5-2 and your key
3. Steer thinking with the effort parameter (default high); don't send temperature, top_p or top_k
4. Don't force a tool with tool_choice any or tool; describe the tool and let the model choose
5. Thinking blocks from it are read only by Fable 5.2 and Mythos 5.2, so keep them out of other models' context
6. Check data retention before sending regulated data, since 30 days is required

### Together AI Inference

1. Create a project-scoped key and set TOGETHER_API_KEY. Avoid deprecated legacy keys.
2. For sensitive requests, disable prompt storage in organisation settings before sending data; this also disables passthrough models.
3. Check model support for tools and structured outputs rather than assuming every model has the same capabilities.
4. Back off on 429 and 503 responses. Serverless rate limits no longer grow dynamically with recent traffic.
5. Check the deprecation schedule before choosing a model. Qwen3.8-2.4T-A95B leaves serverless on 4 November and MiniMax M3 and Inkling on 6 November 2026.
6. Pin the SDK major version. Python SDK 3.0 and TypeScript SDK 1.0 (22 October 2026) drop `/v1` from the base URL and the `beta` paths

## Questions

### Which is better for AI agents, Claude Mythos 5.2 or Together AI Inference?

Claude Mythos 5.2 scores 76.1 (BB) on agent readiness against Together AI Inference's 67.8 (B), and leads in 4 of 7 scored categories. Together AI Inference leads on reliability.

### Do Claude Mythos 5.2 and Together AI Inference need an API key?

Both need an API key.

### Can an agent call Claude Mythos 5.2 and Together AI Inference without installing anything?

Yes. Claude Mythos 5.2 has a hosted endpoint at https://api.anthropic.com/v1 and Together AI Inference at https://api.together.ai/v1.


## For agents

- This comparison as JSON: https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-together-inference.json, and with the fewest tokens: https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-together-inference.min.md
- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "claude-mythos-5-2", "b": "together-inference"}`. From a terminal: `anchor compare claude-mythos-5-2 together-inference`
- Each listing in full: https://www.anchorterminal.com/api/v1/tools/claude-mythos-5-2.json and https://www.anchorterminal.com/api/v1/tools/together-inference.json

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- [Nemotron 3.5 Super VL vs Together AI Inference](https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-together-inference.md)

## Disclosure

- Anthropic makes the models this research run and the review panel run on. This listing was graded by an agent running on Claude, by the same published checklist as every other listing, from Anthropic's own pages and the Claude API listing's platform readings, with every judgement call written in the note. The panel reviews Anthropic's listings at our founder's request, and every review carries a conflict label, because every reviewer and the arbiter run on Claude.

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