Who ranks #1 on the OpenAI MRCR v2 8-needle (256K-512K) leaderboard?
As of September 2, 2026, Muse Spark 1.3 by Meta ranks #1 on OpenAI MRCR v2 8-needle (256K-512K) at 98.5%. API pricing is $1.25/M input and $4.25/M output.
As of September 2, 2026, Muse Spark 1.3 is #1 for OpenAI MRCR v2 8-needle (256K-512K) at 98.5%. Ranked by the OpenAI MRCR v2 8-needle (256K-512K) score 1 models in this index have a published OpenAI MRCR v2 8-needle (256K-512K) score. Methodology: OpenAI MRCR (https://huggingface.co/datasets/openai/mrcr). OpenAI MRCR v2 8-needle (256K-512K) leaderboard with live API prices. Multi-needle retrieval in 256K-512K token contexts — tests long-context recall. Official methodology: OpenAI MRCR (https://huggingface.co/datasets/openai/mrcr).
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As of September 2, 2026, Muse Spark 1.3 by Meta is #1 for OpenAI MRCR v2 8-needle (256K-512K) at 98.5%. Ranked by the OpenAI MRCR v2 8-needle (256K-512K) score This board also tracks OpenAI MRCR v2 8-needle (256K-512K). This openai mrcr v2 8-needle (256k-512k) leaderboard ranks models by OpenAI MRCR v2 8-needle (256K-512K). Scores come from public evals. Prices are the live API rates in the table above.
Sources: OpenAI MRCR (https://huggingface.co/datasets/openai/mrcr); OpenAI API pricing (https://developers.openai.com/api/docs/pricing); Anthropic Claude API pricing (https://platform.claude.com/docs/en/about-claude/pricing); Gemini API pricing (https://ai.google.dev/gemini-api/docs/pricing)
| Rank | Model | OpenAI MRCR v2 8-needle (256K-512K) | Input /M | Output /M |
|---|---|---|---|---|
| 1 | Muse Spark 1.3 | 98.5% | $1.25 | $4.25 |
Rank one eval at a time. All LLM benchmarks.
As of September 2, 2026, Muse Spark 1.3 by Meta ranks #1 on OpenAI MRCR v2 8-needle (256K-512K) at 98.5%. API pricing is $1.25/M input and $4.25/M output.
Muse Spark 1.3 currently leads OpenAI MRCR v2 8-needle (256K-512K) and is also the cheapest scored model on this page, at $1.25/M input and $4.25/M output ($5.50 blended).
Not automatically. Muse Spark 1.3 leads OpenAI MRCR v2 8-needle (256K-512K), but a cheaper scored model can be the better production choice if the quality gap is small. Use the table to weigh OpenAI MRCR v2 8-needle (256K-512K) against input/output price, context window, and related evals.
Scores and API prices on this page are refreshed from published evals and provider rates. The snapshot is labeled September 2, 2026. Treat it as a current index, not a one-off blog post.
Multi-needle retrieval in 256K-512K token contexts — tests long-context recall. This page ranks models that have published a OpenAI MRCR v2 8-needle (256K-512K) score, with live API token prices on the same row. Official methodology: OpenAI MRCR (https://huggingface.co/datasets/openai/mrcr).
This page is the OpenAI MRCR v2 8-needle (256K-512K) leaderboard. Models are sorted by OpenAI MRCR v2 8-needle (256K-512K), with input and output token prices on the same row so you can weigh score against cost. Official boards often omit price; that comparison is the point of this index.
The official OpenAI MRCR page owns the methodology. This page keeps the published OpenAI MRCR v2 8-needle (256K-512K) score next to live API $/M so you can pick a production SKU, not only a trophy number. Source: https://huggingface.co/datasets/openai/mrcr