MRCR v2

🏆 Leaderboard

As of August 31, 2026, Gemini 3.7 Flash is #1 for MRCR v2 at 97%. Ranked by MRCR: can the model still find planted facts inside a long prompt. 26 models in this index have a published MRCR v2 score. MRCR v2 leaderboard with live API prices. MRCR v2 — multi-needle long-context retrieval.

Updated August 31, 2026345 models36 providers

MRCR v2 vs price

26 models. Left is cheaper. Up is a higher score. The line is the best score you can buy at each price — a dot under it is a worse deal than something on the line.

Best score at each price#1 on this board


Gemini 3.7 Flash Google · Proprietary	97%	$4.50
Qwen3.8 MaxOSS Qwen · Open Source	92.9%	$8.00
Qwen3.7-Plus Qwen · Proprietary	91.7%	$1.60
GPT-5.6 Sol OpenAI · Proprietary	91.5%	$35.00
GPT-5.6 Terra OpenAI · Proprietary	89.6%	$14.00
Claude Opus 4.6 Anthropic · Proprietary	76%	$30.00
GPT-5.5 OpenAI · Proprietary	74%	$35.00
Gemma 4 31BOSS Google · Open Source	66.4%	$0.54
Gemini 3.1 Flash-Lite Google · Proprietary	60.1%	$1.75
Gemini 3.6 Flash Google · Proprietary	54%	$4.50
Gemma 4 26B-A4BOSS Google · Open Source	44.1%	$0.53
Gemma 4 12BOSS Google · Open Source	43.4%	$0.53
GPT-5.6 Luna OpenAI · Proprietary	41.3%	$1.40
GPT-5.4 mini OpenAI · Proprietary	33.6%	$5.25
GPT-5.4 nano OpenAI · Proprietary	33.1%	$1.45
DiffusionGemma 26B-A4BOSS Google · Open Source	32%	$0.53
Gemini 3.5 Flash Google · Proprietary	26.6%	$10.50
Gemini 3.1 Pro Google · Proprietary	26.3%	$17.50
Gemini 3 Pro Google · Proprietary	26.3%	$14.00
Gemma 4 E4BOSS Google · Open Source	25.4%	$0.06
Gemini 3 Flash Google · Proprietary	22.1%	$3.50
Gemini 3.5 Flash-Lite Google · Proprietary	21.3%	$2.80
Gemma 4 E2BOSS Google · Open Source	19.1%	$0.06
Gemini 2.5 Flash-LiteOSS Google · Open Source	16.6%	$0.50
Gemini 2.5 Pro Preview 06-05 Google · Proprietary	16.4%	$11.25
Gemma 3 27BOSS Google · Open Source	13.5%	$0.30
ChatGPT-4o Latest OpenAI · Proprietary	—	$12.50
Claude 3 Haiku Anthropic · Proprietary	—	$1.50
Claude 3 Opus Anthropic · Proprietary	—	$90.00
Claude 3 Sonnet Anthropic · Proprietary	—	$18.00
Claude 3.5 Haiku Anthropic · Proprietary	—	$4.80
Claude 3.5 Sonnet Anthropic · Proprietary	—	$18.00
Claude 3.5 Sonnet Anthropic · Proprietary	—	$18.00
Claude 3.7 Sonnet Anthropic · Proprietary	—	$18.00
Claude Fable 5 Anthropic · Proprietary	—	$60.00
Claude Haiku 4.5 Anthropic · Proprietary	—	$6.00
Claude Mythos 5 Anthropic · Proprietary	—	$60.00
Claude Mythos Preview Anthropic · Proprietary	—	$60.00
Claude Opus 4 Anthropic · Proprietary	—	$90.00
Claude Opus 4.1 Anthropic · Proprietary	—	$90.00
Claude Opus 4.5 Anthropic · Proprietary	—	$30.00
Claude Opus 4.7 Anthropic · Proprietary	—	$30.00
Claude Opus 4.8 Anthropic · Proprietary	—	$30.00
Claude Opus 5 Anthropic · Proprietary	—	$30.00
Claude Sonnet 4 Anthropic · Proprietary	—	$18.00
Claude Sonnet 4.5 Anthropic · Proprietary	—	$18.00
Claude Sonnet 4.6 Anthropic · Proprietary	—	$18.00
Claude Sonnet 5 Anthropic · Proprietary	—	$12.00
Codestral-22BOSS Mistral · Open Source · via Mistral AI	—	$1.20
Command A+OSS Cohere · Open Source	—	$12.50

Showing 1–50 of 345 models

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The index

All Large Language Models

345 models across 36 providers. Search or jump to a lab — every model page stays linked here.

Cursor

2 models

Composer 2 Composer 2 Fast

xAI

17 models

Grok 4.6 Grok 4.5 Grok 4.3 Grok-4.1 Grok-4.1 Fast Non-Reasoning Grok-4.1 Fast Reasoning Grok-4.1 Thinking Grok 4 Fast Grok Code Fast 1 Grok-4 Fast Non-Reasoning Grok-4 Fast Reasoning Grok-4 Grok-3 Grok-3 Mini Grok-2 Grok-1.5V Grok-1.5

MiniMax

7 models

MiniMax M3 MiniMax M2.7 MiniMax M2.5 MiniMax M2.1 MiniMax M2 MiniMax M1 40K MiniMax M1 80K

Qwen

55 models

Qwen3.8 Flash Qwen3.8-Flash-Next Qwen3.8-27B Qwen3.8-2.4T-A95B Qwen3.8 Max Qwen3.7 Flash Qwen3.7-Plus Qwen3.7 Max Qwen3.6-27B Qwen3.6-35B-A3B Qwen3.6 Plus Qwen3.5-0.8B Qwen3.5-2B Qwen3.5-4B Qwen3.5-9B Qwen3.5-122B-A10B Qwen3.5-27B Qwen3.5-35B-A3B Qwen3.5-397B-A17B Qwen3 Max Qwen3 VL 235B A22B Instruct Qwen3 VL 235B A22B Thinking Qwen3 VL 30B A3B Instruct Qwen3 VL 30B A3B Thinking Qwen3 VL 32B Instruct Qwen3 VL 32B Thinking Qwen3 VL 4B Instruct Qwen3 VL 4B Thinking Qwen3 VL 8B Instruct Qwen3 VL 8B Thinking Qwen3-Next-80B-A3B-Instruct Qwen3-Next-80B-A3B-Thinking Qwen3-235B-A22B-Thinking-2507 Qwen3-235B-A22B-Instruct-2507 Qwen3 235B A22B Qwen3 30B A3B Qwen3 32B Qwen2.5-Omni-7B QwQ-32B Qwen2.5 VL 32B Instruct Qwen3-Coder 480B A35B Instruct Qwen2.5 VL 72B Instruct Qwen2.5 VL 7B Instruct Qwen3-Coder QvQ-72B-Preview QwQ-32B-Preview Qwen2.5 14B Instruct Qwen2.5 32B Instruct Qwen2.5 72B Instruct Qwen2.5 7B Instruct Qwen2.5-Coder 32B Instruct Qwen2.5-Coder 7B Instruct Qwen2-VL-72B-Instruct Qwen2 72B Instruct Qwen2 7B Instruct

AI21 Labs

2 models

Jamba 1.5 Large Jamba 1.5 Mini

Amazon

7 models

Nova 2 Lite Nova 2 Omni Nova 2 Pro Nova 2 Sonic Nova Lite Nova Micro Nova Pro

Baidu

2 models

ERNIE 5.0 ERNIE 4.5

ByteDance

4 models

Seed 2.1 Pro Seed 2.1 Turbo Seed 2.0 Lite Seed 2.0 Pro

Cohere

4 models

North Micro Vision Instruct North Mini Code 1.0 Command A+Command R+

IBM

2 models

IBM Granite 4.0 Tiny Preview Granite 3.3 8B Instruct

Inception

1 models

Mercury 2

inclusionAI

1 models

Ling-3.0-flash

LG AI Research

1 models

K-EXAONE-236B-A23B

Liquid AI

2 models

LFM2.5-VL-3B LFM2.5-2.6B

Meituan

4 models

LongCat-Flash-Lite LongCat-Flash-Thinking-2601 LongCat-Flash-Thinking LongCat-Flash-Chat

Microsoft

9 models

MAI-Code-1.1-Flash MAI-Code-1-Flash MAI-Thinking-1 Phi 4 Mini Phi-4-multimodal-instruct Phi 4 Phi-3.5-mini-instruct Phi-3.5-MoE-instruct Phi-3.5-vision-instruct

Moonshot AI

11 models

Kimi K3 Kimi K2.7 Code Kimi K2.7 Code HighSpeed Kimi K2.6 Kimi K2.5 Kimi K2 0905 Kimi K2-Instruct-0905 Kimi K2-Thinking-0905 Kimi K2 Base Kimi K2 Instruct Kimi-k1.5

Nous Research

1 models

Hermes 3 70B

NVIDIA

9 models

Nemotron 3.5 Lightning (30B A3B)Nemotron 3 Ultra (550B A55B)Nemotron 3 Super (120B A12B)Nemotron 3 Nano (30B A3B)Nemotron Nano 9B v2 Llama 3.1 Nemotron Ultra 253B v1 Llama 3.1 Nemotron Nano 8B V1 Llama-3.3 Nemotron Super 49B v1 Llama 3.1 Nemotron 70B Instruct

OpenBMB

1 models

MiniCPM-SALA

Poolside

2 models

Laguna S 2.1 Laguna XS 2.1

Sakana AI

1 models

Sakana Namazu

Sarvam AI

2 models

Sarvam-105B Sarvam-30B

StepFun

2 models

Step-3.5-Flash Step3-VL-10B

Tencent

1 models

Hy3

Thinking Machines

1 models

Inkling-Small

Unisound

1 models

Upstage

1 models

Solar Pro 4

Xiaomi

5 models

MiMo-V2.5-Pro MiMo-V2.5 MiMo-V2-Omni MiMo-V2-Pro MiMo-V2-Flash

Which model leads MRCR v2 right now?

As of August 31, 2026, Gemini 3.7 Flash by Google is #1 for MRCR v2 at 97%. Ranked by MRCR: can the model still find planted facts inside a long prompt. This board also tracks MRCR v2. Next on the same board: Qwen3.8 Max and Qwen3.7-Plus. This mrcr v2 leaderboard ranks models by MRCR v2. Scores come from public evals. Prices are the live API rates in the table above.

Sources: 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)

Top 8 for mrcr v2. Ranked by MRCR: can the model still find planted facts inside a long prompt. Input and output are dollars per million tokens.
Rank	Model	MRCR v2	Input /M	Output /M
1	Gemini 3.7 Flash	97%	$0.75	$3.75
2	Qwen3.8 Max	92.9%	$2.00	$6.00
3	Qwen3.7-Plus	91.7%	$0.32	$1.28
4	GPT-5.6 Sol	91.5%	$5.00	$30.00
5	GPT-5.6 Terra	89.6%	$2.00	$12.00
6	Claude Opus 4.6	76%	$5.00	$25.00
7	GPT-5.5	74%	$5.00	$30.00
8	Gemma 4 31B	66.4%	$0.14	$0.40

Related LLM leaderboards

LLM Leaderboard Coding Math Agentic Reasoning Writing Science Finance Long Context Vision Open Source

Individual benchmark pages

Rank one eval at a time. All LLM benchmarks.

HLE SWE Bench Humanity's Last Exam (No Tools)Humanity's Last Exam (With Tools)Terminal-Bench 2.0 Terminal-Bench Terminal-Bench 2.1 Terminal-Bench 2 Terminal-Bench 3.0 ARC-AGI-1 Verified

MRCR v2 FAQ

Who ranks #1 on the MRCR v2 leaderboard?

As of August 31, 2026, Gemini 3.7 Flash by Google ranks #1 on MRCR v2 at 97%. API pricing is $0.75/M input and $3.75/M output.

What are the top models on MRCR v2?

The current MRCR v2 ranking as of August 31, 2026 is 1. Gemini 3.7 Flash at 97%; 2. Qwen3.8 Max at 92.9%; 3. Qwen3.7-Plus at 91.7%.

Which mrcr v2 model is the cheapest?

Gemma 4 E4B is the cheapest scored model on this mrcr v2 leaderboard at $0.02/M input and $0.04/M output ($0.06 blended). Gemini 3.7 Flash still leads MRCR v2 at 97%.

Should I always pick the #1 MRCR v2 model?

Not automatically. Gemini 3.7 Flash leads MRCR v2, but a cheaper scored model can be the better production choice if the quality gap is small. Use the table to weigh MRCR v2 against input/output price, context window, and related evals.

How often is the MRCR v2 leaderboard updated?

Scores and API prices on this page are refreshed from published evals and provider rates. The snapshot is labeled August 31, 2026. Treat it as a current index, not a one-off blog post.

What is MRCR v2?

MRCR v2 — multi-needle long-context retrieval. This page ranks models that have published a MRCR v2 score, with live API token prices on the same row.

Where is the MRCR v2 leaderboard?

This page is the MRCR v2 leaderboard. Models are sorted by MRCR v2, 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.

How is this MRCR v2 ranking different from the official board?

Official eval pages own the methodology. This page keeps the published MRCR v2 score next to live API $/M so you can pick a production SKU, not only a trophy number.

MRCR v2 vs price

You found the model. Now ship the product.

All Large Language Models

OpenAI

Anthropic

Google

Cursor

xAI

DeepSeek

MiniMax

Qwen

AI21 Labs

Amazon

Baidu

ByteDance

Cohere

IBM

Inception

inclusionAI

LG AI Research

Liquid AI

Meituan

Meta

Microsoft

Mistral

Moonshot AI

Nous Research

NVIDIA

OpenBMB

Poolside

Sakana AI

Sarvam AI

StepFun

Tencent

Thinking Machines

Unisound

Upstage

Xiaomi

Z AI

Which model leads MRCR v2 right now?

Related LLM leaderboards

Individual benchmark pages

MRCR v2 FAQ

Who ranks #1 on the MRCR v2 leaderboard?

What are the top models on MRCR v2?

Which mrcr v2 model is the cheapest?

Should I always pick the #1 MRCR v2 model?

How often is the MRCR v2 leaderboard updated?

What is MRCR v2?

Where is the MRCR v2 leaderboard?

How is this MRCR v2 ranking different from the official board?