# Claude Haiku 5.5 vs GPT-5.6 Luna

As of October 21, 2026, GPT-5.6 Luna costs 100% more per input token than Claude Haiku 5.5 ($0.20 vs $0.10 per 1M) and has a 922K-token context window versus 1M.

- Page: https://models.litellm.ai/compare/claude-haiku-5-5-vs-gpt-5.6-luna
- Claude Haiku 5.5: https://models.litellm.ai/models/claude-haiku-5-5
- GPT-5.6 Luna: https://models.litellm.ai/models/gpt-5.6-luna

## Side by side

| | Claude Haiku 5.5 | GPT-5.6 Luna |
|---|---|---|
| Input, per 1M tokens | $0.10 | $0.20 |
| Output, per 1M tokens | $0.50 | $1.20 |
| Cache read, per 1M tokens | $0.01 | $0.02 |
| Cache write, per 1M tokens | $0.125 | $0.25 |
| Context window | 1,000,000 tokens | 922,000 tokens |
| Max output | 128,000 tokens | 128,000 tokens |
| Image input | Yes | Yes |
| Tool calling | Yes | Yes |
| Structured output (JSON) | Yes | Yes |
| Prompt caching | Yes | Yes |
| Reasoning | Yes | Yes |
| Providers on LiteLLM | 7 | 9 |
| Price shown is from | Anthropic | OpenAI |
| Added to LiteLLM | – | July 9, 2026 |

Headline prices in USD per 1M tokens, from LiteLLM's model price file.

## Cheapest provider for each

- Claude Haiku 5.5: Anthropic at $0.10 input per 1M tokens (`claude-haiku-5-5`)
- GPT-5.6 Luna: OpenAI at $0.20 input per 1M tokens (`gpt-5.6-luna`)

## Benchmark scores

| Benchmark | Claude Haiku 5.5 | GPT-5.6 Luna |
|---|---|---|
| Epoch Capabilities Index (Overall) | 159.3 | 156.5 |
| FrontierCode (Coding and agents) | 46.4% (max) | 39.8% |
| APEX-Agents (Coding and agents) | 56.1% (max) | 43.0% |
| GPQA Diamond (Reasoning and knowledge) | 89.6% (max) | 91.6% (max) |
| ARC-AGI-2 (Reasoning and knowledge) | 61.3% (xhigh) | 59.5% (max) |
| SimpleQA Verified (Reasoning and knowledge) | 23.8% (max) | 41.0% (max) |
| FrontierMath (tiers 1-3) (Math) | 75.1% (max) | 82.1% (max) |
| FrontierMath (tier 4) (Math) | 46.3% (max) | 61.0% (max) |
| OTIS Mock AIME 2024-2025 (Math) | 98.9% (xhigh) | 98.3% (max) |

From the Epoch AI Benchmarking Hub (https://epoch.ai/benchmarks), CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/), data as of October 9, 2026: Epoch's own runs and results it collects from each benchmark's leaderboard. Higher is better.

## When to pick which

- Claude Haiku 5.5: Costs 50% less per input token: $0.10 vs $0.20 per 1M.

## FAQ

### Which is cheaper, Claude Haiku 5.5 or GPT-5.6 Luna?

Claude Haiku 5.5 is cheaper at 3 input tokens per output token: $0.20 per 1M tokens blended ($0.10 input, $0.50 output), versus $0.45 ($0.20 and $1.20) for GPT-5.6 Luna, as of October 21, 2026.

### Which has the larger context window, Claude Haiku 5.5 or GPT-5.6 Luna?

Claude Haiku 5.5 has the larger context window: 1,000,000 tokens, versus 922,000 for GPT-5.6 Luna.

### Can I switch from Claude Haiku 5.5 to GPT-5.6 Luna without changing my code?

Yes. Through LiteLLM both use the OpenAI format, so switching means changing the model name from "claude-haiku-5-5" to "gpt-5.6-luna", or pointing a LiteLLM gateway model alias at the other model. You can also use one as a fallback for the other.