Claude 3.5 Haiku
Unknown • Unknown
Context WindowUnknown
Knowledge CutoffUnknown
Claude 3.5 Haiku vs GPT-4o mini
GPT-4o mini for OpenAI ecosystem integration, Claude 3.5 Haiku for Anthropic reliability in fast high-volume tasks.
GPT-4o mini
OpenAI • Text + Vision
Context Window128K
Knowledge CutoffUnknown
Editorial Verdict
GPT-4o mini is the higher-capability mini model; Claude 3.5 Haiku is the ultra-fast budget option.
GPT-4o mini significantly outperforms Claude 3.5 Haiku on reasoning and coding benchmarks while maintaining competitive cost and speed. Claude 3.5 Haiku is the fastest and cheapest of the two. For capability, GPT-4o mini wins. For ultra-fast simple extraction at lowest cost, Claude 3.5 Haiku wins.
Claude 3.5 Haiku
- Significantly higher capability on reasoning and coding benchmarks
- 128K context window — 4x larger than Haiku's 32K
- More capable at complex multi-step tasks despite being a small model
Best for: Complex mini tasks requiring strong capability within a small model
GPT-4o mini
- Fastest inference of any capable small model
- Lowest cost per token for simple extraction tasks
- Fast for real-time extraction and classification applications
Best for: Ultra-fast simple extraction and classification at lowest cost
Pricing sourced from OpenRouter — updates as their catalog changes.
Pricing Comparison
All values pull from OpenRouter and update as their catalog changes.
| Metric | Claude 3.5 Haiku | GPT-4o mini | Winner |
|---|---|---|---|
| Input (per 1M tokens) | Custom | Custom | N/A |
| Output (per 1M tokens) | Custom | Custom | N/A |
| Request fee | N/A | N/A | N/A |
| Image fee | N/A | N/A | N/A |
Cost Estimator
Estimate monthly billing using real OpenRouter prices.
Claude 3.5 Haiku Total
VariableGPT-4o mini Total
VariableSavings unavailable (pricing not published for one model).
Capability Signals
Scores are directional estimates from model metadata — not official benchmark results.
Claude 3.5 HaikuMMLU Signal (Reasoning)GPT-4o mini
N/A
69%
Claude 3.5 HaikuHumanEval Signal (Coding)GPT-4o mini
N/A
69%
Claude 3.5 HaikuAgentic Tooling SignalGPT-4o mini
N/A
69%
Claude 3.5 HaikuMultimodal SignalGPT-4o mini
N/A
78%
Capabilities Matrix
Feature highlights for architecture and production fit.
Claude 3.5 Haiku Strengths
- Live capability metadata is currently unavailable for this model.
- Re-check after the next OpenRouter catalog refresh.
- Use provider docs for exact benchmark claims.
GPT-4o mini Strengths
- Supports image inputs for multimodal analysis workflows.
- Balanced general-purpose profile for chat, extraction, and automation tasks.
API Implementation
Quick start snippets for each provider style.
Unknown (Python)
# Model metadata unavailable # See provider docs for API usage.
OpenAI (Python)
from openai import OpenAI
client = OpenAI()
response = client.chat.completions.create(
model="openai/gpt-4o-mini",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Choose Claude 3.5 Haiku when...
- Use Claude 3.5 Haiku when this provider is required by policy constraints.
- Validate performance with your own evaluation set before production rollout.
- Confirm final cost in the provider dashboard for your deployment region.
Choose GPT-4o mini when...
- Your application includes visual reasoning and image understanding tasks.
- You want a balanced default for mixed chat and workflow automation workloads.
- You can measure quality with your own benchmark and prompt set.
Frequently Asked Questions
Practical checks before selecting a production model.
Which model is better for coding?
Coding preference depends on your stack and tool-calling needs. Compare the coding signal row, test with your repository tasks, and validate latency in your target region.
Which model is cheaper at scale?
Input and output token pricing can diverge by workload profile. Use the estimator with your monthly request count and token mix to get a realistic cost difference.
Are these official benchmark numbers?
Pricing is live from OpenRouter. Benchmark rows are ModelsAtlas metadata-based signals and should be treated as directional guidance, not official leaderboard scores.
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