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Claude Haiku 5.5 vs Auto Code

Detailed technical comparison between Claude Haiku 5.5 (Anthropic) and Auto Code (OpenRouter). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.

⚡ Executive Summary & Verdict

Comparison Snapshot

Claude Haiku 5.5: 3 WinsvsAuto Code: 3 Wins
Context Leader

Auto Code

2,000,000 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

Tie

Equal Pricing
Anthropicactive

Claude Haiku 5.5

Claude Haiku 5.5 is Anthropic's small, fast model for high-volume, cost-sensitive work such as summarization, subagents, and browser use. It succeeds Claude Haiku 4.5 with stronger coding, computer use, and...

View Claude Haiku 5.5 Full Specs →
OpenRouteractive

Auto Code

Auto Code is OpenRouter’s router built specifically for coding agents and harnesses. It uses the same routing engine as the [Auto Router](https://openrouter.ai/openrouter/auto), with every request treated as part of an...

View Auto Code Full Specs →

Technical Specifications

🏆 = Superior Spec
SpecificationClaude Haiku 5.5Auto Code
ProviderAnthropicOpenRouter
Context Window1,000,000 tokens2,000,000 tokens🏆
Agent SuitabilityNot yet benchmarkedNot yet benchmarked
Time to First Token (TTFT)No public TTFT dataNo public TTFT data
Deployment Modelmanaged apimanaged api
Production StabilityStable releaseNot verified
API AvailableYesYes
Released Date2026-10-072026-11-05

API Pricing Comparison

Input Price per Million Tokens

Claude Haiku 5.5

$0.10

Auto Code

Not listed

Output Price per Million Tokens

Claude Haiku 5.5

$0.50

Auto Code

Not listed

Want to test both models live?

Run side-by-side prompt benchmarks in our dynamic multi-model Sandbox. Compare execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Standardized Scores (0–100%)

Scores show verified raw accuracy percentages across standardized AI evaluation suites. Higher bars indicate superior performance in that domain.

MMLUGeneral knowledge & multi-task understanding
78.4%vs81.2%+2.8% Auto Code
Claude Haiku 5.5
Auto Code 🏆
HumanEvalPython coding & logic synthesis
76.6%vs91.4%+14.8% Auto Code
Claude Haiku 5.5
Auto Code 🏆
MATHComplex mathematical problem solving
53.8%vs56.6%+2.8% Auto Code
Claude Haiku 5.5
Auto Code 🏆
GPQAGraduate-level expert reasoning
39.2%vs38.6%+0.6% Claude Haiku 5.5
Claude Haiku 5.5 🏆
Auto Code
HellaSwagCommonsense reasoning and inference
81.4%vs80.8%+0.6% Claude Haiku 5.5
Claude Haiku 5.5 🏆
Auto Code
MT-BenchMulti-turn conversation flow quality
8.4%vs8.3%+0.1% Claude Haiku 5.5
Claude Haiku 5.5 🏆
Auto Code

Claude Haiku 5.5 Quirks & Gotchas

No developer gotchas reported.

Auto Code Quirks & Gotchas

No developer gotchas reported.

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