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claude-fable-5 vs gemini-2.5-flash

Side-by-side comparison of claude-fable-5 and gemini-2.5-flash: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. claude-fable-5 outperforms gemini-2.5-flash on 7 of 7 shared benchmarks.

Benchmark comparison

Intelligence Indexreasoning
claude-fable-564.9%
gemini-2.5-flash27.0%
Coding Indexcoding
claude-fable-562.0%
gemini-2.5-flash22.2%
Math Indexmath
claude-fable-5N/A
gemini-2.5-flash73.3%
GPQA Diamondreasoning
claude-fable-592.6%
gemini-2.5-flash79.0%
AIME 2025math
claude-fable-5N/A
gemini-2.5-flash73.3%
LiveCodeBenchcoding
claude-fable-5N/A
gemini-2.5-flash69.5%
Terminal-Bench Hardagentic
claude-fable-562.9%
gemini-2.5-flash13.6%
τ²-Benchagentic
claude-fable-598.5%
gemini-2.5-flash31.6%
SciCodecoding
claude-fable-560.2%
gemini-2.5-flash39.4%
MMLU Proknowledge
claude-fable-5N/A
gemini-2.5-flash83.2%
Humanity's Last Examreasoning
claude-fable-553.3%
gemini-2.5-flash11.1%

Scores sourced from official model cards, Artificial Analysis, and public leaderboards. Benchmarks measure specific skills and don't capture every aspect of model quality.

Pricing & specifications

claude-fable-5gemini-2.5-flash
Input price / 1M$10.00$0.30
Output price / 1M$50.00$2.50
Context window1M tokens1.0M tokens
Max output128K tokens66K tokens
Vision inputYesYes
Tool callingYesYes
ReasoningYesYes
Prompt cachingYesYes
Computer useYesN/A
ProviderAnthropic PBCGoogle LLC (Gemini API)

Questions people ask

Is claude-fable-5 better than gemini-2.5-flash?
claude-fable-5 outperforms gemini-2.5-flash on 7 of 7 shared benchmarks. See the benchmark comparison above for specifics: claude-fable-5 and gemini-2.5-flash have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper, claude-fable-5 or gemini-2.5-flash?
gemini-2.5-flash is cheaper. claude-fable-5 costs $10.00/$50.00 per 1M input/output tokens, while gemini-2.5-flash costs $0.30/$2.50.
Can I use claude-fable-5 and gemini-2.5-flash through the same API?
Yes. Requesty provides a single OpenAI-compatible API that routes to both. Change just the "model" parameter to switch between "anthropic/claude-fable-5" and "google/gemini-2.5-flash", no other code changes needed.
What are the context windows?
claude-fable-5 supports up to 1M tokens of context. gemini-2.5-flash supports up to 1.0M tokens. Longer context means you can feed larger documents or codebases in a single prompt, though quality often degrades past 128K for most models.

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