Model comparison
Claude Fable 5.1 vs Gemini 3.1 Pro
Anthropic against Google, 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
Gemini 3.1 Pro
Frontier
| Specification | Claude Fable 5.1 | Gemini 3.1 Pro |
|---|---|---|
| Provider | ||
| Provider | Anthropic | |
| Tier | ||
| Tier | Frontier | Frontier |
| Context window | ||
| Context window | 1M | Winner: 1.05M |
| Max output | ||
| Max output | Winner: 128K | 66K |
| Input / 1M tokens | ||
| Input / 1M tokens | $10 | Winner: $2 |
| Output / 1M tokens | ||
| Output / 1M tokens | $50 | Winner: $12 |
| Weights | ||
| Weights | Closed | Closed |
| Parameters | ||
| Parameters | Not verifiedUnverified | Not verifiedUnverified |
| Reasoning levels | ||
| Reasoning levels | low, medium, high, xhigh, max | low, medium, high |
| Modalities | ||
| Modalities | text, image | text, image, video, audio, pdf |
| API model id | ||
| API model id | claude-fable-5-1 | gemini-3.1-pro-preview |
| Released | ||
| Released | September 1, 2026 | February 19, 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 |
| Humanity's Last Exam · source date Claude Fable 5.1: 2026-09-01, Gemini 3.1 Pro: 2026-02 (comparability not verified) | ||
| Humanity's Last Exam · source date Claude Fable 5.1: 2026-09-01, Gemini 3.1 Pro: 2026-02 (comparability not verified) | 65 | 44.4 |
| Terminal-Bench 2.1 · source date Claude Fable 5.1: 2026-09-26, Gemini 3.1 Pro: 2026-07 (comparability not verified) | ||
| Terminal-Bench 2.1 · source date Claude Fable 5.1: 2026-09-26, Gemini 3.1 Pro: 2026-07 (comparability not verified) | 91.4 | 73.8 |
| 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 |
| SWE-bench Verified · source date Gemini 3.1 Pro: 2026-02 | ||
| SWE-bench Verified · source date Gemini 3.1 Pro: 2026-02 | Not verifiedUnverified | 80.6 |
| GPQA Diamond · source date Gemini 3.1 Pro: 2026-02 | ||
| GPQA Diamond · source date Gemini 3.1 Pro: 2026-02 | Not verifiedUnverified | 94.3 |
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 date2026-10-01Artificial 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.
- Source date2026-07Google DeepMind model evaluation report (vendor, Terminus-2; own Feb report separately reported TB 2.0 = 68.5 — versions preserved)
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 date2026-02Google DeepMind model evaluation report (vendor, no tools; 51.4 with search+code)
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 date2026-02Google DeepMind model evaluation report (vendor, no tools, pass@1)
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 date2026-02Google DeepMind model evaluation report (vendor, Thinking High, avg of 10 runs, +0.6 disclosed adjustment)
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.
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.
Gemini 3.1 Pro: The current Gemini developer guide lists $2/$12 per MTok below 200K input and $4/$18 above 200K, including thinking output. It leaves the exact 200K boundary unspecified; confirm that boundary and other processing/cache tiers before budgeting. The exact API ID remains gemini-3.1-pro-preview. Restricted Gemini 4 Argon is a separate preview and does not make this endpoint stable.
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.
Gemini 3.1 Pro
Gemini 3.1 Pro Preview is Google's multimodal Pro endpoint with a 1,048,576-token input limit and 65,536-token output limit.
Best for
- Very long documents
- Multimodal reasoning
- Frontier knowledge work
Watch out
This API endpoint remains Preview. A separate customtools endpoint is optimized for bash/custom-tool workflows and can behave differently on other tasks. Keep endpoint, thinking level and benchmark version matched; restricted Gemini 4 Argon access is a separate lifecycle.
When the cheaper one wins
Gemini 3.1 Pro is cheaper on output at $12 per million tokens against $50 for Claude Fable 5.1 — about 4.2×. 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)
- Gemini 3.1 Pro: Google primary profile — whole-record source check October 1 (accessed 2026-10-01)
- Gemini 3.1 Pro: Gemini current API pricing and cache-storage tiers (accessed 2026-10-01)
- Gemini 3.1 Pro: Gemini developer guide — exact Preview rates and boundary limitation (accessed 2026-10-01)
- Gemini 3.1 Pro: Gemini API 3.1 Pro Preview — exact endpoint and customtools scope (accessed 2026-10-01)
- Gemini 3.1 Pro: Google Cloud — Gemini 3.1 Pro (accessed 2026-08-29)
- Gemini 3.1 Pro: TechCrunch — Gemini 3.1 Pro (accessed 2026-08-29)
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 · Gemini 3.1 Pro
Common questions
Claude Fable 5.1 vs Gemini 3.1 Pro
Answered from the verified figures on this page rather than general guidance.
Is Claude Fable 5.1 or Gemini 3.1 Pro cheaper for input?
Is Claude Fable 5.1 or Gemini 3.1 Pro cheaper for output?
Which has the larger context window, Claude Fable 5.1 or Gemini 3.1 Pro?
Do Claude Fable 5.1 and Gemini 3.1 Pro support the same reasoning levels?
Should I use Claude Fable 5.1 or Gemini 3.1 Pro?
Next step
Choosing between them
The verified figures that separate this pair, computed from the catalog rather than restated boilerplate.
- Input price: Gemini 3.1 Pro costs $2 per 1M tokens versus $10 for Claude Fable 5.1 — a 5x difference at the headline tier.
- Context: Gemini 3.1 Pro takes 1.05M against 1M for Claude Fable 5.1 — only decisive if your prompts approach the smaller window.
Choosing a harness rather than a model — Cursor, Copilot, Claude Code, Windsurf, or Lovable? Compare agentic harnesses · Latest releases.