Reasoning · Benchmark profile

OpenAI MRCR v2 8-needle 128K-256K

MRCR v2 slice focused on very long contexts at 128K-256K lengths.

Reference2026Active2 models

Data verified 1 Aug 2026 · Methodology 2.3.0

Benchmark score on OpenAI MRCR v2 8-needle 128K-256K

Leaderboard · 2 models

GPT-5.5 leads at 87.5%, followed by Claude Opus 4.7 (59.2%).

Display onlyReasoning2026

#1Closed

GPT-5.5

OpenAI

gpt-5.5

87.5%

Overall #13 · Context 1.05M tokens

#2Closed

Claude Opus 4.7

Anthropic

claude-opus-4-7

59.2%

Overall #23 · Context 1M tokens

ViewModelsColours

OpenAIAnthropic

Lumina

OpenAI MRCR v2 8-needle 128K-256K leaderboard

Accessible data for OpenAI MRCR v2 8-needle 128K-256K leaderboard
Model	Rank	Model ID	Provider	Score	Unit
GPT-5.5	#1	gpt-5-5	OpenAI	87.5	percent
Claude Opus 4.7	#2	claude-opus-4-7	Anthropic	59.2	percent

Benchmark score table (2 models)

One best compatible score per canonical product · higher is better

OpenAI MRCR v2 8-needle 128K-256K leaderboard ranked by score
Rank	Model	Provider	License	Evidence use	Score
#1	GPT-5.5 gpt-5.5	OpenAI	closed	Source carrier	87.5%
#2	Claude Opus 4.7 claude-opus-4-7	Anthropic	closed	Source carrier	59.2%

Configuration-preserving evidencePublished source rows (6)Exact source labels, configurations, versions and dated observations. Same-snapshot canonical/configuration projections are shown once.

Every distinct dated source-published row for OpenAI MRCR v2 8-needle 128K-256K, including exact model configuration labels
Exact published model / configuration	Canonical product	Score	Version / system	Evidence	Source / observed
Exact BenchLM registry variant GPT-5.5; bulk export does not retain a complete upstream harness configuration. source label without registered configuration ID	GPT-5.5	87.5%	2026Source-native system	Source carrier · no additional scoring weight source-checked	BenchLM public datasets — 2026-08-01 ↗Observed 2026-08-01 · checked 2026-08-01
Exact BenchLM registry variant Claude Opus 4.7 (Adaptive); bulk export does not retain a complete upstream harness configuration. claude-opus-4-7-max	Claude Opus 4.7	59.2%	2026Source-native system	Source carrier · no additional scoring weight source-checked	BenchLM public datasets — 2026-08-01 ↗Observed 2026-08-01 · checked 2026-08-01
Exact BenchLM registry variant GPT-5.5; bulk export does not retain a complete upstream harness configuration. source label without registered configuration ID	GPT-5.5	87.5%	2026Source-native system	Source carrier · no additional scoring weight source-checked	BenchLM public datasets — 2026-07-27 ↗Observed 2026-07-27 · checked 2026-07-27
Exact BenchLM registry variant Claude Opus 4.7 (Adaptive); bulk export does not retain a complete upstream harness configuration. claude-opus-4-7-max	Claude Opus 4.7	59.2%	2026Source-native system	Source carrier · no additional scoring weight source-checked	BenchLM public datasets — 2026-07-27 ↗Observed 2026-07-27 · checked 2026-07-27
Exact BenchLM registry variant GPT-5.5; bulk export does not retain a complete upstream harness configuration. source label without registered configuration ID	GPT-5.5	87.5%	2026Source-native system	Source carrier · no additional scoring weight source-checked	BenchLM public datasets — 21 July 2026 ↗Observed 2026-07-21 · checked 2026-07-21
Exact BenchLM registry variant Claude Opus 4.7 (Adaptive); bulk export does not retain a complete upstream harness configuration. claude-opus-4-7-max	Claude Opus 4.7	59.2%	2026Source-native system	Source carrier · no additional scoring weight source-checked	BenchLM public datasets — 21 July 2026 ↗Observed 2026-07-21 · checked 2026-07-21

Compare top models

GPT-5.5 vs Claude Opus 4.7

About OpenAI MRCR v2 8-needle 128K-256K

Definition and scoring

Organisation: OpenAI
Category: Reasoning
Version: 2026
Direction: higher is better
Ranking use: Reference
Contamination risk: Unknown

MRCR v2 slice focused on very long contexts at 128K-256K lengths. Every genuine source row stays tied to its exact model label, configuration, benchmark version and evaluation system. The summary chart shows one best compatible score per canonical product; Score 2.0 admits only explicitly mapped, frozen protocols and keeps incompatible configurations separate.

Open benchmark source ↗

FAQ

Quick answers

What does OpenAI MRCR v2 8-needle 128K-256K measure?

MRCR v2 slice focused on very long contexts at 128K-256K lengths.

Which model scores highest on OpenAI MRCR v2 8-needle 128K-256K?

GPT-5.5 by OpenAI currently leads with 87.5%.

How many models are evaluated on OpenAI MRCR v2 8-needle 128K-256K?

2 canonical model products have a qualifying score, backed by 6 distinct dated source rows.

Does this affect overall Lumina rank?

No. This benchmark is display-only and does not enter the overall Lumina composite.

Reasoning · Benchmark profile

OpenAI MRCR v2 8-needle 128K-256K

MRCR v2 slice focused on very long contexts at 128K-256K lengths.

Reference2026Active2 models

Data verified 1 Aug 2026 · Methodology 2.3.0

Benchmark score on OpenAI MRCR v2 8-needle 128K-256K

Leaderboard · 2 models

GPT-5.5 leads at 87.5%, followed by Claude Opus 4.7 (59.2%).

Display onlyReasoning2026

#1Closed

GPT-5.5

OpenAI

gpt-5.5

87.5%

Overall #13 · Context 1.05M tokens

#2Closed

Claude Opus 4.7

Anthropic

claude-opus-4-7

59.2%

Overall #23 · Context 1M tokens

ViewModelsColours

OpenAIAnthropic

Lumina

OpenAI MRCR v2 8-needle 128K-256K leaderboard

Accessible data for OpenAI MRCR v2 8-needle 128K-256K leaderboard
Model	Rank	Model ID	Provider	Score	Unit
GPT-5.5	#1	gpt-5-5	OpenAI	87.5	percent
Claude Opus 4.7	#2	claude-opus-4-7	Anthropic	59.2	percent

Benchmark score table (2 models)

One best compatible score per canonical product · higher is better

OpenAI MRCR v2 8-needle 128K-256K leaderboard ranked by score
Rank	Model	Provider	License	Evidence use	Score
#1	GPT-5.5 gpt-5.5	OpenAI	closed	Source carrier	87.5%
#2	Claude Opus 4.7 claude-opus-4-7	Anthropic	closed	Source carrier	59.2%

Configuration-preserving evidencePublished source rows (6)Exact source labels, configurations, versions and dated observations. Same-snapshot canonical/configuration projections are shown once.

Every distinct dated source-published row for OpenAI MRCR v2 8-needle 128K-256K, including exact model configuration labels
Exact published model / configuration	Canonical product	Score	Version / system	Evidence	Source / observed
Exact BenchLM registry variant GPT-5.5; bulk export does not retain a complete upstream harness configuration. source label without registered configuration ID	GPT-5.5	87.5%	2026Source-native system	Source carrier · no additional scoring weight source-checked	BenchLM public datasets — 2026-08-01 ↗Observed 2026-08-01 · checked 2026-08-01
Exact BenchLM registry variant Claude Opus 4.7 (Adaptive); bulk export does not retain a complete upstream harness configuration. claude-opus-4-7-max	Claude Opus 4.7	59.2%	2026Source-native system	Source carrier · no additional scoring weight source-checked	BenchLM public datasets — 2026-08-01 ↗Observed 2026-08-01 · checked 2026-08-01
Exact BenchLM registry variant GPT-5.5; bulk export does not retain a complete upstream harness configuration. source label without registered configuration ID	GPT-5.5	87.5%	2026Source-native system	Source carrier · no additional scoring weight source-checked	BenchLM public datasets — 2026-07-27 ↗Observed 2026-07-27 · checked 2026-07-27
Exact BenchLM registry variant Claude Opus 4.7 (Adaptive); bulk export does not retain a complete upstream harness configuration. claude-opus-4-7-max	Claude Opus 4.7	59.2%	2026Source-native system	Source carrier · no additional scoring weight source-checked	BenchLM public datasets — 2026-07-27 ↗Observed 2026-07-27 · checked 2026-07-27
Exact BenchLM registry variant GPT-5.5; bulk export does not retain a complete upstream harness configuration. source label without registered configuration ID	GPT-5.5	87.5%	2026Source-native system	Source carrier · no additional scoring weight source-checked	BenchLM public datasets — 21 July 2026 ↗Observed 2026-07-21 · checked 2026-07-21
Exact BenchLM registry variant Claude Opus 4.7 (Adaptive); bulk export does not retain a complete upstream harness configuration. claude-opus-4-7-max	Claude Opus 4.7	59.2%	2026Source-native system	Source carrier · no additional scoring weight source-checked	BenchLM public datasets — 21 July 2026 ↗Observed 2026-07-21 · checked 2026-07-21

Compare top models

GPT-5.5 vs Claude Opus 4.7

About OpenAI MRCR v2 8-needle 128K-256K

Definition and scoring

Organisation: OpenAI
Category: Reasoning
Version: 2026
Direction: higher is better
Ranking use: Reference
Contamination risk: Unknown

Open benchmark source ↗

FAQ

Quick answers

What does OpenAI MRCR v2 8-needle 128K-256K measure?

MRCR v2 slice focused on very long contexts at 128K-256K lengths.

Which model scores highest on OpenAI MRCR v2 8-needle 128K-256K?

GPT-5.5 by OpenAI currently leads with 87.5%.

How many models are evaluated on OpenAI MRCR v2 8-needle 128K-256K?

2 canonical model products have a qualifying score, backed by 6 distinct dated source rows.

Does this affect overall Lumina rank?

No. This benchmark is display-only and does not enter the overall Lumina composite.

Navigation

OpenAI MRCR v2 8-needle 128K-256K

Leaderboard · 2 models

GPT-5.5

Claude Opus 4.7

OpenAI MRCR v2 8-needle 128K-256K leaderboard

Crop OpenAI MRCR v2 8-needle 128K-256K leaderboard

Benchmark score table (2 models)

Crop OpenAI MRCR v2 8-needle 128K-256K benchmark table

Crop OpenAI MRCR v2 8-needle 128K-256K published source rows

Compare top models

Definition and scoring

Quick answers

What does OpenAI MRCR v2 8-needle 128K-256K measure?

Which model scores highest on OpenAI MRCR v2 8-needle 128K-256K?

How many models are evaluated on OpenAI MRCR v2 8-needle 128K-256K?

Does this affect overall Lumina rank?

OpenAI MRCR v2 8-needle 128K-256K

Leaderboard · 2 models

GPT-5.5

Claude Opus 4.7

OpenAI MRCR v2 8-needle 128K-256K leaderboard

Crop OpenAI MRCR v2 8-needle 128K-256K leaderboard

Benchmark score table (2 models)

Crop OpenAI MRCR v2 8-needle 128K-256K benchmark table

Crop OpenAI MRCR v2 8-needle 128K-256K published source rows

Compare top models

Definition and scoring

Quick answers

What does OpenAI MRCR v2 8-needle 128K-256K measure?

Which model scores highest on OpenAI MRCR v2 8-needle 128K-256K?

How many models are evaluated on OpenAI MRCR v2 8-needle 128K-256K?

Does this affect overall Lumina rank?

Leaderboard · 2 models

GPT-5.5

Claude Opus 4.7

Benchmark score table (2 models)

Compare top models

Definition and scoring

Quick answers

What does OpenAI MRCR v2 8-needle 128K-256K measure?

Which model scores highest on OpenAI MRCR v2 8-needle 128K-256K?

How many models are evaluated on OpenAI MRCR v2 8-needle 128K-256K?

Does this affect overall Lumina rank?

More Reasoning benchmarks

Leaderboard · 2 models

GPT-5.5

Claude Opus 4.7

Benchmark score table (2 models)

Compare top models

Definition and scoring

Quick answers

What does OpenAI MRCR v2 8-needle 128K-256K measure?

Which model scores highest on OpenAI MRCR v2 8-needle 128K-256K?

How many models are evaluated on OpenAI MRCR v2 8-needle 128K-256K?

Does this affect overall Lumina rank?

More Reasoning benchmarks