Model comparison
Claude Fable 5.1 vs Kimi K3
Anthropic against Moonshot AI, compared on context, price, and attributed benchmark results.
Recorded profile verification October 1, 2026Individual provider fields may changeEvidence confidence: Medium — see receipts below
Anthropic
Claude Fable 5.1
Frontier
Moonshot AI
Kimi K3
Frontier · Open weights
| Specification | Claude Fable 5.1 | Kimi K3 |
|---|---|---|
| Provider | ||
| Provider | Anthropic | Moonshot AI |
| Tier | ||
| Tier | Frontier | Frontier |
| Context window | ||
| Context window | 1M | Winner: 1.05M |
| Max output | ||
| Max output | 128K | Winner: 1.05M |
| Input / 1M tokens | ||
| Input / 1M tokens | $10 | Winner: $3 |
| Output / 1M tokens | ||
| Output / 1M tokens | $50 | Winner: $15 |
| Weights | ||
| Weights | Closed | Open |
| Parameters | ||
| Parameters | Not verifiedUnverified | 2.8T total / 104B active (MoE) |
| Reasoning levels | ||
| Reasoning levels | low, medium, high, xhigh, max | low, high, max |
| Modalities | ||
| Modalities | text, image | text, image, video |
| License | ||
| License | Not verifiedUnverified | Kimi K3 License (custom) |
| API model id | ||
| API model id | claude-fable-5-1 | kimi-k3 |
| Released | ||
| Released | September 1, 2026 | July 16, 2026 |
| Artificial Analysis Intelligence Index [max] · source date Claude Fable 5.1: 2026-10-01 | ||
| Artificial Analysis Intelligence Index [max] · source date Claude Fable 5.1: 2026-10-01 | 53 | Not verifiedUnverified |
| Artificial Analysis Intelligence Index [max] · source date Kimi K3: 2026-10-01 | ||
| Artificial Analysis Intelligence Index [max] · source date Kimi K3: 2026-10-01 | Not verifiedUnverified | 44 |
| Humanity's Last Exam · source date Claude Fable 5.1: 2026-09-01 | ||
| Humanity's Last Exam · source date Claude Fable 5.1: 2026-09-01 | 65 | Not verifiedUnverified |
| Humanity's Last Exam [max] · source date Kimi K3: 2026-10-01 | ||
| Humanity's Last Exam [max] · source date Kimi K3: 2026-10-01 | Not verifiedUnverified | 56 |
| Terminal-Bench 2.1 · source date Claude Fable 5.1: 2026-09-26 | ||
| Terminal-Bench 2.1 · source date Claude Fable 5.1: 2026-09-26 | 91.4 | Not verifiedUnverified |
| Terminal-Bench 2.1 [max] · source date Kimi K3: 2026-10-01 | ||
| Terminal-Bench 2.1 [max] · source date Kimi K3: 2026-10-01 | Not verifiedUnverified | 88.3 |
| DeepSWE 1.1 · source date Claude Fable 5.1: 2026-09-03 | ||
| DeepSWE 1.1 · source date Claude Fable 5.1: 2026-09-03 | 67.4 | Not verifiedUnverified |
| GPQA Diamond [max] · source date Kimi K3: 2026-10-01 | ||
| GPQA Diamond [max] · source date Kimi K3: 2026-10-01 | Not verifiedUnverified | 93.5 |
| SWE-bench Verified · source date Kimi K3: 2026-10-01 | ||
| SWE-bench Verified · source date Kimi K3: 2026-10-01 | Not verifiedUnverified | 93.4 |
Dates beside benchmark scores refer to the linked source’s publication or capture date unless that source explicitly states when it measured the result. A shared URL alone does not establish comparable runs; unverified setups are marked. Prices are USD per million tokens at standard rates, excluding batch and caching discounts. Values we could not confirm from the provider are shown as “Not verified” rather than estimated.
Benchmark receipts
Where each score comes from, and how far it can be compared across models.
- Source date2026-10-01Vals.ai exact Kimi K3 93.40% key-takeaway result; independent bash-only harness, 500-task Verified subset; experiment date unverified
Real GitHub issue resolution: does the model's patch pass the hidden tests.
Comparable with caveatPost-audit vendor claims and pre-audit scores sit on different task trust levels; scaffolding (agent harness, compute budget) also dominates results. Never aggregate across scaffolds.
- Source date2026-10-01Kimi K3 official model-card table (vendor-reported) (HLE-Full with general tools; temperature 1.0; 43.5% separately without tools; exact run date unverified)
Frontier-knowledge ceiling: extremely hard multi-domain questions written to be near-impossible without deep expertise.
Comparable with caveatSubset/tool configurations (text-only vs with-tools) differ between vendors and materially change scores; must match configuration to compare.
- Source date2026-10-01Kimi K3 official model-card table (vendor-reported) (Single-step, temperature 1.0, top-p 0.95; exact run date unverified)
Graduate-level science reasoning: multiple-choice questions written by domain PhDs.
Comparable with caveatDo not treat a fixed two-point band as universal measurement uncertainty; it depends on run count and evaluation setup. Chain-of-thought, prompt, and tool policy must match. The small pool limits fine-grained conclusions, and frontier scores can be near ceiling; Artificial Analysis dropped it from its Intelligence Index in v4.3.
- Source date2026-10-01Kimi K3 official model-card table (vendor-reported) (Kimi Code harness; temperature 1.0, top-p 1.0; exact run date unverified)
Agentic terminal work: multi-step tasks executed in a sandboxed shell environment.
Comparable with caveatNot comparable with Terminal-Bench 3.0 or 4.0 (different task sets) or v1; harness configuration (container, time limits) also shifts results.
- Source date2026-10-01Artificial Analysis (Kimi K3 (max))
Composite index blending reasoning, knowledge, and coding evals into one 0–100 score.
Comparable with caveatOnly same-version scores are comparable. v4.3.2 was rebaselined (the top score fell from 66 on v4.1.1 to ~58), so v4.1.1 figures must not be compared with v4.3.2 figures — check the cited source and its date.
- Source date2026-10-01Artificial Analysis (Claude Fable 5.1 (max with fallback))
Composite index blending reasoning, knowledge, and coding evals into one 0–100 score.
Comparable with caveatOnly same-version scores are comparable. v4.3.2 was rebaselined (the top score fell from 66 on v4.1.1 to ~58), so v4.1.1 figures must not be compared with v4.3.2 figures — check the cited source and its date.
- Source date2026-09-26Artificial Analysis Terminal-Bench 2.1 (independent, Terminus 2, max effort)
Agentic terminal work: multi-step tasks executed in a sandboxed shell environment.
Comparable with caveatNot comparable with Terminal-Bench 3.0 or 4.0 (different task sets) or v1; harness configuration (container, time limits) also shifts results.
- Source date2026-09-03OpenAI GPT-6 Astra launch table quoting a cross-provider result; not a direct Datacurve row (Cross-provider quotation; Fable harness, effort and experiment date unverified)
Agentic software engineering: pass@1 on real repo tasks with reported cost per completed task.
Directly comparable
- Source date2026-09-01Anthropic Fable 5.1 announcement (vendor, with tools; 60.9 no tools) — Anthropic's later Opus 5.5 table lists 65.6; conflict preserved
Frontier-knowledge ceiling: extremely hard multi-domain questions written to be near-impossible without deep expertise.
Comparable with caveatSubset/tool configurations (text-only vs with-tools) differ between vendors and materially change scores; must match configuration to compare.
Pricing tiers
Claude Fable 5.1: Standard $10/$50 per MTok with no long-context surcharge. Cache reads $0.25, versus Fable 5's $1; 5-minute writes $12.50 and 1-hour writes $20. Batch $5/$25. US-only inference adds 10% where supported. Adaptive thinking is always on, default effort high; knowledge cutoff Jun 2026. Retirement not sooner than September 1, 2027.
Kimi K3: $3/$15 per million input/output tokens; cached input $0.30. Cache writes add $3/MTok for 5-minute TTL or $6/MTok for 1-hour TTL; hits refresh TTL without another write charge. API access requires a successful top-up of at least $1. max_completion_tokens defaults to 131,072 and can be set up to 1,048,576. Kimi K3 uses a custom license; self-hosting has compute costs.
Claude Fable 5.1
Claude Fable 5.1 is Anthropic's model for the most demanding reasoning and long-horizon agentic work at $10/$50 — Anthropic now recommends Opus 5.5 as the default for most workloads.
Best for
- Frontier agents
- Hardest reasoning work
- Fable 5 workloads at the same price
Watch out
Standard token rates are 2.5x Opus 5.5's. Forced tool use errors; thinking blocks are model/conversation-bound, so editing earlier turns or switching models can invalidate them. Display updates and per-message effort are beta. Match benchmark settings and evaluate pinned workloads before migrating.
Kimi K3
Kimi K3 is Moonshot AI's open-weight multimodal 2.8T/104B MoE model with a 1,048,576-token context.
Best for
- Open-weight frontier work
- Long-context
- Multimodal
Watch out
Thinking is always on; preserve complete assistant reasoning/tool history. Vision input requires base64 or ms:// rather than public image URLs, and temperature/top_p/n/penalties are fixed. Current docs discourage production web-search use. The custom licence requires an agreement for Model-as-a-Service businesses above $20M aggregate licensee/affiliate revenue over consecutive 12 months; commercial products above 100M monthly active users or $20M monthly revenue require Kimi K3 UI attribution. Internal use and official/certified serving routes have separate exemptions. July 16 is Kimi Code's release date, distinct from weights publication.
When the cheaper one wins
Kimi K3 is cheaper on output at $15 per million tokens against $50 for Claude Fable 5.1 — about 3.3×. Use the cheaper tier for classification, extraction, summarisation, and any task where the expensive model’s extra score does not change the accepted output. The expensive one only pays if your hardest task actually fails on the cheap tier. This compares standard short-context token rates, not total cost per accepted task. Include input, cache, context tiers, schedules, retries and review in your pilot.
Run the model pickerEvidence confidence: Medium
How strong and complete the evidence behind this comparison is — not a prediction of which model is better.
- Pricing verified on both sides — Input and output rates are verified for both models.
- 4/5 core specs verified on both sides — Not published for at least one side: parameter count.
- No directly aligned benchmark setup — No benchmark has matching cited sources, source dates, units, effort and recorded run details on both models.
- Verified within the last 90 days — Older of the two catalog checks was 25 days ago.
- Both models carry source citations — Each side has at least two catalog sources on record.
Source receipts
Each catalog figure was checked against the provider or an independent second source on the date shown.
- Claude Fable 5.1: Claude model overview — whole-profile source check October 1 (accessed 2026-10-01)
- Claude Fable 5.1: Claude current API pricing, caching and inference geography (accessed 2026-10-01)
- Claude Fable 5.1: Anthropic pricing — Fable 5.1/Mythos 5.1 $10/$50 (accessed 2026-09-03)
- Claude Fable 5.1: Anthropic models overview — Fable 5.1 (1M context, 128K output) (accessed 2026-09-03)
- Claude Fable 5.1: Anthropic — Claude Fable and Mythos 5.1 announcement (accessed 2026-09-26)
- Claude Fable 5.1: Anthropic models overview — Opus 5.5 default; Fable 5.1 for demanding reasoning (accessed 2026-09-26)
- Claude Fable 5.1: Anthropic effort documentation (Fable 5.1 selectable effort) (accessed 2026-10-01)
- Kimi K3: Whole-profile primary source check October 1 (accessed 2026-10-01)
- Kimi K3: Whole-profile primary source check October 1 (accessed 2026-10-01)
- Kimi K3: Kimi Code dated release history (K3 July 16; distinct from weights publication) (accessed 2026-10-01)
- Kimi K3: Kimi K3 API pricing — native cache-write TTL charges (accessed 2026-10-01)
- Kimi K3: Exact Kimi K3 custom license (accessed 2026-10-01)
- Kimi K3: HuggingFace — Kimi K3 (accessed 2026-08-29)
- Kimi K3: Moonshot — Kimi K3 guide (accessed 2026-08-29)
- Kimi K3: Kimi K3 quickstart (max_completion_tokens up to 1,048,576) (accessed 2026-09-26)
Related comparisons
- Claude Fable 5.1 vs Claude Haiku 4.5
- Claude Fable 5.1 vs Claude Mythos 5.1
- Claude Fable 5.1 vs Claude Opus 5
- Claude Fable 5.1 vs Claude Opus 5.5
- Claude Fable 5.1 vs Claude Sonnet 5
- Claude Fable 5.1 vs Claude Sonnet 5.5
Diving deeper on one model? Claude Fable 5.1 · Kimi K3
Common questions
Claude Fable 5.1 vs Kimi K3
Answered from the verified figures on this page rather than general guidance.
Is Claude Fable 5.1 or Kimi K3 cheaper for input?
Is Claude Fable 5.1 or Kimi K3 cheaper for output?
Which has the larger context window, Claude Fable 5.1 or Kimi K3?
Do Claude Fable 5.1 and Kimi K3 support the same reasoning levels?
Should I use Claude Fable 5.1 or Kimi K3?
Can I self-host Claude Fable 5.1 or Kimi K3?
Next step
Choosing between them
The verified figures that separate this pair, computed from the catalog rather than restated boilerplate.
- Input price: Kimi K3 costs $3 per 1M tokens versus $10 for Claude Fable 5.1 — a 3.3x difference at the headline tier.
- Context: Kimi K3 takes 1.05M against 1M for Claude Fable 5.1 — only decisive if your prompts approach the smaller window.
- Deployment: Kimi K3 publishes weights you can self-host; the other is API-only.
Choosing a harness rather than a model — Cursor, Copilot, Claude Code, Windsurf, or Lovable? Compare agentic harnesses · Latest releases.