Claude Haiku 4.5 vs Gemini 2.5 Flash for Structured Output

Winner: Claude Haiku 4.5. In our testing both models score 4/5 on Structured Output (JSON schema compliance), but Claude Haiku 4.5 edges out Gemini 2.5 Flash on faithfulness (5 vs 4) and classification (4 vs 3), two capabilities that reduce format drift and misrouting in schema-driven pipelines. Gemini 2.5 Flash is a strong alternative when cost or tight-format rewriting matters (it has a better constrained_rewriting score and lower output cost).

anthropic

Claude Haiku 4.5

Overall
4.33/5Strong

Benchmark Scores

Faithfulness
5/5
Long Context
5/5
Multilingual
5/5
Tool Calling
5/5
Classification
4/5
Agentic Planning
5/5
Structured Output
4/5
Safety Calibration
2/5
Strategic Analysis
5/5
Persona Consistency
5/5
Constrained Rewriting
3/5
Creative Problem Solving
4/5

External Benchmarks

SWE-bench Verified
N/A
MATH Level 5
N/A
AIME 2025
N/A

Pricing

Input

$1.00/MTok

Output

$5.00/MTok

Context Window200K

modelpicker.net

google

Gemini 2.5 Flash

Overall
4.17/5Strong

Benchmark Scores

Faithfulness
4/5
Long Context
5/5
Multilingual
5/5
Tool Calling
5/5
Classification
3/5
Agentic Planning
4/5
Structured Output
4/5
Safety Calibration
4/5
Strategic Analysis
3/5
Persona Consistency
5/5
Constrained Rewriting
4/5
Creative Problem Solving
4/5

External Benchmarks

SWE-bench Verified
N/A
MATH Level 5
N/A
AIME 2025
N/A

Pricing

Input

$0.300/MTok

Output

$2.50/MTok

Context Window1049K

modelpicker.net

Task Analysis

What Structured Output demands: JSON schema compliance and strict format adherence; deterministic field ordering, exact key names and types, predictable error handling, and stable behavior when prompted repeatedly. Important capabilities: high faithfulness (staying strictly to the schema), reliable structured_output/response_format support, strong tool_calling when outputs feed downstream functions, and good constrained_rewriting for tight character limits. In our testing both models score 4/5 on the Structured Output benchmark and share the same task rank (26 of 52). Supporting signals: Claude Haiku 4.5 shows stronger faithfulness (5 vs 4) and better classification (4 vs 3) in our tests — useful for correct field typing and routing. Gemini 2.5 Flash scores higher on constrained_rewriting (4 vs 3) and safety_calibration (4 vs 2), and it is materially cheaper on output ($2.50 vs $5.00 per mTok). Both models expose structured_outputs and response_format controls and scored 5/5 on tool_calling, so both can integrate into function-driven pipelines. Context sizes are ample for schema-heavy tasks (Haiku 4.5: 200,000 tokens; Gemini 2.5 Flash: 1,048,576 tokens).

Practical Examples

Where Claude Haiku 4.5 shines: - High-integrity API payload generation (faithfulness 5 vs 4): fewer schema deviations for billing, identity, or regulatory payloads. - Schema-first data pipelines that rely on accurate classification/routing (classification 4 vs 3). - Large-context schema assemblies where downstream tools expect exact keys (tool_calling 5 for both). Where Gemini 2.5 Flash shines: - Cost-sensitive bulk generation (output cost $2.50 vs $5.00/mTok) for high-volume structured exports. - Tight character/byte-limited formats (constrained_rewriting 4 vs 3) such as compact CSV-like JSON or embedded JSON in single-line logs. - Safety-sensitive outputs where a higher safety_calibration score (4 vs 2) reduces the chance of producing disallowed content inside structured fields. Concrete numbers to ground choices: both models score 4/5 on Structured Output in our testing; choose Claude for stronger schema fidelity (faithfulness 5 vs 4) and routing; choose Gemini for cheaper per-output cost and better constrained rewriting.

Bottom Line

For Structured Output, choose Claude Haiku 4.5 if you need the highest fidelity to schema and more reliable classification/routing (faithfulness 5 vs 4; classification 4 vs 3). Choose Gemini 2.5 Flash if per-output cost and tighter constrained rewriting matter more (output $2.50 vs $5.00/mTok; constrained_rewriting 4 vs 3).

How We Test

We test every model against our 12-benchmark suite covering tool calling, agentic planning, creative problem solving, safety calibration, and more. Each test is scored 1–5 by an LLM judge. Read our full methodology.

Frequently Asked Questions