Models & Pricing

Claude Fable 5.1 vs Gemini 4 Argon

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ComparisonClaude Fable 5.1
claude-fable-5-1
Gemini 4 Argon
gemini-4-argon
TypeChatChat
Best forChat, writing, coding and reasoning tasksLong-horizon coding, agents and million-token documents
TokenRex price$10.00 in / $50.00 out per 1M tokens$2.00 in / $10.00 out per 1M tokens
Cached input / 1M tokens$0.25 per 1M tokens$0.10 per 1M tokens
Cache write / 1M tokens$12.50 per 1M tokensNo extra fee
Cached outputNot offered · standard output rate appliesNot offered · standard output rate applies
Market price$10.00 in / $50.00 out per 1M tokens$2.00 in / $10.00 out per 1M tokens
Context window (provider)1,000,000 tokens1,048,576 tokens
Input token limit (provider)Within the context windowWithin the context window
Maximum output128,000 tokens65,536 tokens
Knowledge cutoffJun 2026March 2026
Vendor input modalitiesText, ImageText, Image, Audio, Video
Vendor output modalitiesTextText
TokenRex endpointsPOST /v1/chat/completions · POST /v1/messagesPOST /v1/chat/completions
TokenRex inputText, Image/PDF content through the chat bridge—
TokenRex outputText—
Benchmarks
Benchmark evidence33 source-linked results19 source-linked results
SWE-bench Pro
81.2%

Provider model evaluated with adaptive thinking at max effort; average over five trials. This is not the catalog default medium-effort configuration.

Anthropic Fable 5.1 system card · sections 8.1–8.11
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DeepSWE v1.1
67.4%

Provider model evaluated with adaptive thinking at max effort; average over five trials. This is not the catalog default medium-effort configuration.

Anthropic Fable 5.1 system card · sections 8.1–8.11
77.9%

Self-reported by Google in the Gemini 4 Argon model card, October 2026.

Google DeepMind · Gemini 4 Argon model card
SWE-bench Multilingual
89.1%

Provider model evaluated with adaptive thinking at max effort; average over five trials. This is not the catalog default medium-effort configuration.

Anthropic Fable 5.1 system card · sections 8.1–8.11
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SWE-bench Multimodal
54.7%

Provider model evaluated with adaptive thinking at max effort; average over five trials. This is not the catalog default medium-effort configuration.

Anthropic Fable 5.1 system card · sections 8.1–8.11
—
CursorBench 3.2.0
73.4%

System card section 8.8 reports Cursor’s production agent harness at max effort; historical 3.2.0 test, not CursorBench 4.0.

Anthropic Fable 5.1 system card · sections 8.1–8.11
—
ProgramBench
87.6%

Section 8.11.1: 166 filtered tasks; hidden test pass rate, mini-swe-agent without the six-hour time limit; max effort. Not interchangeable with the unfiltered public evaluation.

Anthropic Fable 5.1 system card · sections 8.1–8.11
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FrontierSWE v2
56.53%

Published current mean reward 0.5653 over 170 runs, displayed as a percentage; not the older supplied 56.3 result. Effort is not established by this leaderboard.

Proximal · FrontierSWE public leaderboard
55%

Self-reported by Google in the Gemini 4 Argon model card, October 2026.

Google DeepMind · Gemini 4 Argon model card
LiveCodeBench (Vals)
90.52%

Vals evaluation: max compute effort, temperature 1, maximum output 128,000; reported uncertainty ±0.86 percentage points. Not the default medium version.

Vals AI · Claude Fable 5.1 evaluation
—
CursorBench 4.0
51.8%

Cursor’s live table explicitly lists Fable 5.1 Max at 51.8; Extra High is a separate 51.6 result. Max must not be equated with the catalog xhigh variant.

CursorBench public evaluation
51.6%

Row explicitly labeled 'Fable 5.1 Extra High' (xhigh) at 51.6%, $13.01/task, confirmed directly on Cursor's live table. Distinct from the already-recorded 51.8% 'Fable 5.1 Max' row and the 49.2% 'Fable 5.1 High' row on the same leaderboard — effort levels are not interchangeable.

Cursor · CursorBench 4.0 public leaderboard
—
ARC-AGI-1
97.5%

Section 8.16: ARC Prize verified semi-private dataset, max effort. Not the medium-effort default catalog version.

Anthropic Fable 5.1 system card · sections 8.1–8.11
—
ARC-AGI-2
90%

Section 8.16: ARC Prize verified semi-private dataset, max effort. Not the medium-effort default catalog version.

Anthropic Fable 5.1 system card · sections 8.1–8.11
—
GMMLU
94%

Section 8.18.1: 42 languages, adaptive thinking max effort, single trial, no tools or custom system prompt. Not the medium-effort default catalog version.

Anthropic Fable 5.1 system card · sections 8.1–8.11
—
MILU
93%

Section 8.18.2: 11 languages, adaptive thinking max effort, single trial. Not the medium-effort default catalog version.

Anthropic Fable 5.1 system card · sections 8.1–8.11
—
HealthBench (raw)
66.7%

Section 8.17: max effort, five trials, Opus 4.8 grader; safety classifiers and Opus 5 refusal fallback. Raw score, not length adjusted. Not the medium-effort default catalog version.

Anthropic Fable 5.1 system card · sections 8.1–8.11
—
HealthBench (length adjusted)
60%

Section 8.17: same max-effort evaluation, length-adjusted score. Not the medium-effort default catalog version.

Anthropic Fable 5.1 system card · sections 8.1–8.11
—
HealthBench Professional (raw)
74.2%

Section 8.17: five trials, max effort, Opus 4.8 grader, safety classifiers and Opus 5 fallback. Raw score. Not the medium-effort default catalog version.

Anthropic Fable 5.1 system card · sections 8.1–8.11
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HealthBench Professional (length adjusted)
62.1%

Section 8.17: same max-effort evaluation, length-adjusted score. Not the medium-effort default catalog version.

Anthropic Fable 5.1 system card · sections 8.1–8.11
—
BenchCAD Vision2Code (without tools)
0.437voxel IoU

Section 8.14.2: random 1,000-file subset, average five runs, adaptive thinking max effort, no tools. Not the medium-effort default catalog version.

Anthropic Fable 5.1 system card · sections 8.1–8.11
—
BenchCAD Vision2Code (with tools)
0.843voxel IoU

Section 8.14.2: random 1,000-file subset, average five runs, adaptive thinking max effort, container and image cropping tool. Not the medium-effort default catalog version.

Anthropic Fable 5.1 system card · sections 8.1–8.11
—
GDPval-AA v2
1853Elo

Section 8.15.3: AA independent agentic professional work evaluation, max effort. Historical v2, not v2.1. Not the medium-effort default catalog version.

Anthropic Fable 5.1 system card · sections 8.1–8.11
—
AA-Briefcase (system card)
1694Elo

Section 8.15.4: independent AA long-horizon work evaluation, max effort; historical system-card snapshot. Not the medium-effort default catalog version.

Anthropic Fable 5.1 system card · sections 8.1–8.11
—
FrontierCode v1.1 (Extended)
63.6%

Cognition FrontierCode 1.1; Claude Fable 5.1; medium effort; claude-code harness; Extended subset (150 tasks). Published weighted rubric score (new_score × 100), not the all-or-nothing pass rate; solution-source violations score zero. Source field new_score=0.636. Publisher evaluation, not a TokenRex measurement; provider effort configuration is not a guarantee of the API's fixed thinking budget.

Cognition · FrontierCode 1.1 original leaderboard
—
FrontierCode v1.1 (Main)
50.91%

Cognition FrontierCode 1.1; Claude Fable 5.1; medium effort; claude-code harness; Main subset (100 tasks). Published weighted rubric score (new_score × 100), not the all-or-nothing pass rate; solution-source violations score zero. Source field new_score=0.5091. Publisher evaluation, not a TokenRex measurement; provider effort configuration is not a guarantee of the API's fixed thinking budget.

Cognition · FrontierCode 1.1 original leaderboard
—
Terminal-Bench 4.0
55.8%

Section 8.6: Claude Code --bare, maximum thinking effort; 15 trials/task (990 trials), SE ±1.6–2 points. Published Fable 5.1 evaluation, not the default medium catalog configuration or a TokenRex run; benchmark tools are not hosted API capabilities.

Anthropic · Fable 5.1 system card
—
Terminal-Bench-Science 0.1
52.6%

Section 8.7: Claude Code --bare, maximum thinking effort; 10 trials/task (700 trials), SE ±3.5–4.5 points. Published Fable 5.1 evaluation, not the default medium catalog configuration or a TokenRex run; benchmark tools are not hosted API capabilities.

Anthropic · Fable 5.1 system card
—
Humanity’s Last Exam (with tools)
65%

Table 8.1.A and section 8.12.1: web search, web fetch and code execution; thinking auto, 1M token cap, Opus 4.6 grader and source blocklist. Published Fable 5.1 evaluation, not the default medium catalog configuration or a TokenRex run; benchmark tools are not hosted API capabilities.

Anthropic · Fable 5.1 system card
—
Humanity’s Last Exam (without tools)
60.9%

Table 8.1.A: no tools; standard adaptive thinking at max effort, default sampling, five trials. Published Fable 5.1 evaluation, not the default medium catalog configuration or a TokenRex run; benchmark tools are not hosted API capabilities.

Anthropic · Fable 5.1 system card
—
AutomationBench
31.4%

Table 8.1.A: adaptive thinking at max effort, default sampling, five trials; production safeguards enabled. Published Fable 5.1 evaluation, not the default medium catalog configuration or a TokenRex run; benchmark tools are not hosted API capabilities.

Anthropic · Fable 5.1 system card
51.3%

Self-reported by Google in the Gemini 4 Argon model card (Score), October 2026.

Google DeepMind · Gemini 4 Argon model card
Chartography (with tools)
86.2%

Section 8.14.1: adaptive thinking at max effort; container and image-cropping tool, five runs. Published Fable 5.1 evaluation, not the default medium catalog configuration or a TokenRex run; benchmark tools are not hosted API capabilities.

Anthropic · Fable 5.1 system card
—
Chartography (without tools)
42.6%

Section 8.14.1: adaptive thinking at max effort, no tools, five runs. Published Fable 5.1 evaluation, not the default medium catalog configuration or a TokenRex run; benchmark tools are not hosted API capabilities.

Anthropic · Fable 5.1 system card
—
OSWorld 2.0 (partial)
77.9%

Section 8.14.3: August 2026 tasks with subsequent fixes; 1080p, maximum 500 action steps, maximum reasoning effort, five runs, Opus 4.8 grader. Not comparable to OSWorld 2.1 or earlier task releases. Published Fable 5.1 evaluation, not the default medium catalog configuration or a TokenRex run; benchmark tools are not hosted API capabilities.

Anthropic · Fable 5.1 system card
—
OSWorld 2.0 (strict)
41.7%

Section 8.14.3: August 2026 tasks with subsequent fixes; 1080p, maximum 500 action steps, maximum reasoning effort, five runs, Opus 4.8 grader. Not comparable to OSWorld 2.1 or earlier task releases. Published Fable 5.1 evaluation, not the default medium catalog configuration or a TokenRex run; benchmark tools are not hosted API capabilities.

Anthropic · Fable 5.1 system card
—
Vals Index—
68.9%

Self-reported by Google in the Gemini 4 Argon model card, October 2026.

Google DeepMind · Gemini 4 Argon model card
Vals Finance Agent v2—
65.4%

Self-reported by Google in the Gemini 4 Argon model card, October 2026.

Google DeepMind · Gemini 4 Argon model card
Harvey's Legal Agent Benchmark—
19.6%

Self-reported by Google in the Gemini 4 Argon model card, October 2026.

Google DeepMind · Gemini 4 Argon model card
Vibe Code Bench—
91.9%

Self-reported by Google in the Gemini 4 Argon model card, October 2026.

Google DeepMind · Gemini 4 Argon model card
Terminal-bench 4.0—
57.4%

Self-reported by Google in the Gemini 4 Argon model card, October 2026.

Google DeepMind · Gemini 4 Argon model card
PostTrainBench—
45.3%

Self-reported by Google in the Gemini 4 Argon model card, October 2026.

Google DeepMind · Gemini 4 Argon model card
Terminal-Bench Science 0.1—
57.6%

Self-reported by Google in the Gemini 4 Argon model card, October 2026.

Google DeepMind · Gemini 4 Argon model card
LABBench 2—
88.8%

Self-reported by Google in the Gemini 4 Argon model card, October 2026.

Google DeepMind · Gemini 4 Argon model card
RiemannBench—
76%

Self-reported by Google in the Gemini 4 Argon model card, October 2026.

Google DeepMind · Gemini 4 Argon model card
GraphWalks BFS (up to 128K)—
99.7%

Self-reported by Google in the Gemini 4 Argon model card (F1), October 2026.

Google DeepMind · Gemini 4 Argon model card
GraphWalks BFS (256K to 1M)—
84.2%

Self-reported by Google in the Gemini 4 Argon model card (F1), October 2026.

Google DeepMind · Gemini 4 Argon model card
Agent's Last Exam—
39.5%

Self-reported by Google in the Gemini 4 Argon model card (Pass rate), October 2026.

Google DeepMind · Gemini 4 Argon model card
OSWorld-2.0 (offline subset)—
69.2%

Self-reported by Google in the Gemini 4 Argon model card (Partial score), October 2026.

Google DeepMind · Gemini 4 Argon model card
Chartography—
71.6%

Self-reported by Google in the Gemini 4 Argon model card, October 2026.

Google DeepMind · Gemini 4 Argon model card
LVBench—
91.7%

Self-reported by Google in the Gemini 4 Argon model card, October 2026.

Google DeepMind · Gemini 4 Argon model card
CWE-bench v1—
68%

Self-reported by Google in the Gemini 4 Argon model card, October 2026.

Google DeepMind · Gemini 4 Argon model card

No overall score, winner or cost-versus-score frontier is calculated without comparable, attributable benchmark evidence. Different test configurations appear separately. Vendor capabilities are distinct from TokenRex API support.

— means no published value or no matching capability. Provider token limits are not tested gateway guarantees; TokenRex media controls and response formats are listed separately.

Claude Fable 5.1

Sources and verification

Provider specifications describe the upstream model, not a guarantee of every feature through TokenRex. Prices come from the enabled catalog; benchmark results belong to the exact tested model.

Research notes (2)
  • Published provider limits; maximum-capacity requests have not been independently exercised through TokenRex. Thinking-level variants use the same provider model; reasoning and answer tokens share the output budget.
  • Benchmark configuration is stated per result. Provider max-effort tests are not measurements of the default medium or xhigh catalog versions. ProgramBench 87.6 is the vendor’s filtered 166-task test, not a generic public score.

Gemini 4 Argon

Sources and verification

Provider specifications describe the upstream model, not a guarantee of every feature through TokenRex. Prices come from the enabled catalog; benchmark results belong to the exact tested model.

Research notes (2)
  • Published provider limits; maximum-capacity requests have not been independently exercised through TokenRex. Standard requests allow up to 65,536 output tokens. Google's long-decode mode (output up to 1,048,576 tokens minus input) is enabled with background=true — the TokenRex chat endpoint accepts this parameter (verified live on 2026-10-14), but a full 1M-token output has not been exercised, so the default 65,536-token output limit is shown.
  • All benchmark scores are self-reported by Google in the official model card; TokenRex has not re-run them.

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