Coding work
Code generation, repair, and software-engineering tasks
Claude Fable 5.1
Claude Fable 5.1 leads on the public coding lane, 80 to 68.4, with Supported evidence for both models, although the 90% intervals overlap.
Updated September 30, 2026. Rank says Claude Fable 5.1 is ahead. Price, access, and your workload can each overturn that. Public scores include evidence status and uncertainty.
Both of these models will change. Get the price, version and retirement notices for the pair, each with its source. Follow model changes
Claude Fable 5.1 has the higher public score, 82.1 versus 64.59, and the 90% score intervals do not overlap. 9 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.
Recommendations appear only when a shared evidence basis or an explicit operating constraint supports the call. Secondary and unsupported use cases stay disclosed below the initial list.
Code generation, repair, and software-engineering tasks
Claude Fable 5.1
Claude Fable 5.1 leads on the public coding lane, 80 to 68.4, with Supported evidence for both models, although the 90% intervals overlap.
1K fresh input + 500 output tokens
Gemini 4 Argon
Gemini 4 Argon has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.
200K cached + 20K fresh input + 10K output tokens
Gemini 4 Argon
Gemini 4 Argon has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.
50K fresh input + 3K output tokens
Gemini 4 Argon
Gemini 4 Argon has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.
Tool use, computer use, and multi-step task completion
Not enough matched evidence
Gemini 4 Argon is scored on Estimated evidence for agentic, so the reading is directional rather than like-for-like.
Prompts that approach the documented context limit
Not enough matched evidence
A complete context comparison is not sourced.
Choose a job from the LLM Selector's task catalog to see the category row it rests on, under the same basis rules as the table below. A directional row stays directional; choosing a job never creates a winner.
The same task catalog as the LLM Selector. Each job names the evidence surface it rests on; nothing here adds a new score.
Like-for-like · BenchAlign v5.7
Claude Fable 5.1 leads the like-for-like coding row, although the 90% intervals overlap.
Coding scores combine specific tasks and setups. Match the editor, harness, and effort to your workflow.
Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.
1 category rests on Estimated evidence or different evidence sets. Those rows remain visible for coverage context but do not name a winner.
Only shared public evidence is shown. Sparse evidence stays a ruled list rather than being closed into a radar shape.
Too few matched category axes support a radar. The ruled list below shows only shared benchmark results; positions use each benchmark’s normalized display scale when available.
OSWorld 2.0Agentic
Normalized gap 27.5AutomationBenchAgentic
Normalized gap 19.9Each row shows the public-lane category score for both models: the BenchAlign v5.7 lane for agentic, coding, and knowledge, and the weighted public rows elsewhere, with the same rank each model page reports. A row is like-for-like only when both scores rest on Supported evidence or the same weighted set. Directional and not-comparable rows remain visible, but they never receive a winner.
| Category | Claude Fable 5.1 | Gemini 4 Argon | Basis | Reading |
|---|---|---|---|---|
| Coding | 80.0Supported · #3/144 | 68.4Supported · #8/144 | Like-for-likeBenchAlign v5.7 lane · 11 vs 4 public rows | Claude Fable 5.1 leads · intervals overlap |
| Knowledge | 85.7Supported · #3/170 | 72.9Supported · #11/170 | Like-for-likeBenchAlign v5.7 lane · 4 vs 1 public rows | Claude Fable 5.1 leads · intervals overlap |
| Agentic | 79.0Supported · #2/119 | 63.7Estimated · #14/119 | Directional onlyBenchAlign v5.7 lane · 11 vs 7 public rows | Directional only |
| Reasoning | 81.4#3/27 | 77.1Unranked · 3 rankable rows | Not comparableProvisional lane · 1 vs 0 weighted rows | Not comparable |
| Multimodal | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Multilingual | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Instruction following | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Math | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
Ranks count the models scored in each category’s lane, so the agentic, coding, and knowledge denominators (BenchAlign v5.7) differ from the provisional-lane categories. Unranked scores sit on the provisional lane’s scale but never name a winner. Like-for-like rows within 0.5 points read as a practical tie.
Three fixed token mixes turn per-token rates into comparable decisions. Each scenario states context fit and whether cached input had to fall back to the published list-input rate.
1K fresh input + 500 output tokens
Gemini 4 Argon has the lower modeled cost
Costs use the listed standard API rates.
50K fresh input + 3K output tokens
Gemini 4 Argon has the lower modeled cost
Costs use the listed standard API rates.
200K cached + 20K fresh input + 10K output tokens
Gemini 4 Argon has the lower modeled cost
Costs use the listed standard API rates.
Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.
Maximum documented context; output-token limits may be lower.
Claude Fable 5.1
Gemini 4 Argon
Not sourced
Google Gemini 4 Argon announcementClaude Fable 5.1
claude-fable-5-1
Anthropic Fable 5.1 and Mythos 5.1 launchGemini 4 Argon
Not sourced
A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
Claude Fable 5.1
$0.25 per 1M cached input tokens
Anthropic Fable 5.1 launchGemini 4 Argon
$0.1 per 1M cached input tokens
Google Gemini 4 Argon announcementClaude Fable 5.1
Not sourced
Gemini 4 Argon
Not sourced
Claude Fable 5.1
Not sourced
Gemini 4 Argon
Not sourced
Claude Fable 5.1
Generally Available · Claude API, Claude products, AWS, Google Cloud, Microsoft Azure
Anthropic Fable 5.1 and Mythos 5.1 launchGemini 4 Argon
Limited Access · Fairwind Program
Google Gemini 4 Argon announcementClaude Fable 5.1
Reasoning
Gemini 4 Argon
Reasoning
Claude Fable 5.1
Proprietary
Gemini 4 Argon
Proprietary
Claude Fable 5.1
Proprietary
Gemini 4 Argon
Proprietary
Claude Fable 5.1
2026-09-01
Gemini 4 Argon
2026-09-30
Claude Fable 5.1 has the higher public score, 82.1 versus 64.59, and the 90% score intervals do not overlap. That is the clearest overall quality signal in the current public data.
Claude Fable 5.1 leads the public coding lane, 80 to 68.4, with Supported evidence for both models, although the 90% intervals overlap.
Claude Fable 5.1 scores higher for agentic tasks on the public lane, 79 to 63.7. Gemini 4 Argon is scored on Estimated evidence for agentic tasks, so the reading is directional rather than like-for-like. BenchLM does not name a winner for agentic tasks from a directional reading; read the shared benchmark rows directly and test the models on the same task set.
For the stated presets, chat costs $0.035 on Claude Fable 5.1 and $0.007 on Gemini 4 Argon; repository review costs $0.65 and $0.13; the cache-heavy agent loop costs $0.75 and $0.16. Costs use the listed standard API rates.
A complete documented context-window comparison is not available.
The full public result ledger is available for audit without forcing a wide desktop table onto a phone.
Terminal-Bench 4.0
Gemini 4 Argon leads this result
Terminal-Bench-Science 0.1
Not directly comparable
OSWorld 2.0
Gemini 4 Argon leads this result
AutomationBench
Gemini 4 Argon leads this result
Toolathlon-Verified
Not directly comparable
Toolathlon Verified Pass@3
Not directly comparable
Toolathlon Verified Pass³
Not directly comparable
Toolathlon Verified avg. turns
Not directly comparable
Terminal-Bench 2.1 (Vals)
Not directly comparable
ApprenticeBench
Not directly comparable
CWE-bench v1
Shared sourceGemini 4 Argon leads this result
Finance Agent v2
Not directly comparable
Agents' Last Exam
Not directly comparable
Terminal-Bench-Science 0.1 (6x verifier timeout)
Not directly comparable
Bug Hunt Bench
Not directly comparable
SWE-bench Pro
Not directly comparable
SWE Multilingual
Not directly comparable
SWE Multimodal
Not directly comparable
DeepSWE
Gemini 4 Argon leads this result
FrontierSWE v2
Shared sourceClaude Fable 5.1 leads this result
ProgramBench
Not directly comparable
cursorBench32
Not directly comparable
LiveCodeBench (Vals)
Not directly comparable
cursorBench40
Not directly comparable
PostTrainBench v1.1
Gemini 4 Argon leads this result
Vibe Code Bench
Not directly comparable
ARC-AGI-1
Not directly comparable
ARC-AGI-2
Not directly comparable
GraphWalks BFS 256K–1M
Gemini 4 Argon leads this result
Graphwalks BFS 128K
Not directly comparable
HLE
Not directly comparable
HLE w/o tools
Not directly comparable
GPQA Diamond (Vals)
Not directly comparable
MMLU-Pro (Vals)
Not directly comparable
LABBench2
Not directly comparable
Gray Swan IPI (15 attempts)
Shared sourceGemini 4 Argon leads this result
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Last updated September 30, 2026