Claude Haiku 4.5 vs Gemini 3.1 Flash Lite Preview
Choose Claude Haiku 4.5 for developer-facing apps that need best-in-class tool calling, long-context retrieval and agentic planning. Gemini 3.1 Flash Lite Preview wins on safety calibration and structured output and is the better choice when cost per token is the dominant constraint.
anthropic
Claude Haiku 4.5
Benchmark Scores
External Benchmarks
Pricing
Input
$1.00/MTok
Output
$5.00/MTok
modelpicker.net
Gemini 3.1 Flash Lite Preview
Benchmark Scores
External Benchmarks
Pricing
Input
$0.250/MTok
Output
$1.50/MTok
modelpicker.net
Benchmark Analysis
Summary of our 12-test suite (scores 1–5): Claude Haiku 4.5 wins 4 tests (tool_calling 5 vs 4, classification 4 vs 3, long_context 5 vs 4, agentic_planning 5 vs 4). Gemini 3.1 Flash Lite Preview wins 3 tests (structured_output 5 vs 4, constrained_rewriting 4 vs 3, safety_calibration 5 vs 2). The remaining 5 tests tie (strategic_analysis 5/5, creative_problem_solving 4/4, faithfulness 5/5, persona_consistency 5/5, multilingual 5/5). Important context and rank signals from our dataset: - Tool calling: Claude scores 5 and is “tied for 1st with 16 other models out of 54 tested”; Gemini scores 4 and ranks 18 of 54. For apps that must pick and sequence functions with precise arguments, Claude’s higher tool_calling score and top rank translate to fewer integration failures. - Long context: Claude scores 5 and is “tied for 1st with 36 other models out of 55 tested”; Gemini scores 4 and ranks 38 of 55. For retrieval over 30K+ tokens, Claude is the safer pick. - Agentic planning & classification: Claude’s 5 on agentic_planning (tied for 1st) and 4 on classification (tied for 1st) mean clearer goal decomposition and routing. - Structured output & constrained rewriting: Gemini’s 5 on structured_output (tied for 1st) and 4 on constrained_rewriting (rank 6 of 53) indicate stronger JSON/schema fidelity and tighter compression into character limits. - Safety calibration: Gemini’s 5 (tied for 1st) vs Claude’s 2 (rank 12 of 55) is a major operational consideration for products exposed to harmful-user content — Gemini will refuse harmful requests more reliably in our tests. Ties (strategic_analysis, creative_problem_solving, faithfulness, persona_consistency, multilingual) show comparable performance for reasoning, ideation, sticking to source, character maintenance and multi-language output. Overall, Claude leads on function-heavy, long-context, and planning tasks; Gemini leads on safety-sensitive and schema-constrained tasks, and offers a large cost advantage.
Pricing Analysis
Pricing (per 1,000 tokens / mTok): Claude Haiku 4.5 charges $1 input and $5 output; Gemini 3.1 Flash Lite Preview charges $0.25 input and $1.50 output. Assuming a 50/50 split of input vs output tokens: at 1M tokens/month (1,000 mTok) Claude costs $3,000 ($500 input + $2,500 output) vs Gemini $875 ($125 + $750). At 10M tokens/month Claude is $30,000 vs Gemini $8,750. At 100M tokens/month Claude is $300,000 vs Gemini $87,500. The ~3.33x price ratio (priceRatio = 3.333...) matters for high-volume deployments: startups and enterprises sending millions of tokens monthly will save materially with Gemini; teams focused on tool integration, long-context workflows, or where a small quality delta increases product value should budget for Claude’s higher unit cost.
Real-World Cost Comparison
Bottom Line
Choose Claude Haiku 4.5 if you build developer tools, agentic systems, or long-context applications that require robust tool calling, strong retrieval across 30K+ tokens, and higher agentic planning (Claude scores 5 on tool_calling, long_context and agentic_planning). Pay the higher per-token price when integration failures or recall errors would cost you more than the token delta. Choose Gemini 3.1 Flash Lite Preview if your priority is high-volume cost efficiency or strict schema/safety behavior — it scores 5 on safety_calibration and structured_output while costing ~$0.25/$1.50 per 1K tokens vs Claude’s $1/$5.
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.