GDM-MRCR v2 8-needle, 128K average (GDM-MRCR v2 128K average)
Google's configuration-specific long-context retrieval result at a 128K average context length.
Benchmark score on GDM-MRCR v2 128K average — August 13, 2026
BenchLM mirrors the published score view for GDM-MRCR v2 128K average. Gemini 3.7 Flash leads the public snapshot at 97%. We do not use these results to rank models overall.
Benchmark score table (1 model)
ScoreAbout GDM-MRCR v2 128K average
Year
2026
Tasks
8-needle retrieval tasks
Format
Long-context retrieval
Difficulty
Long-context reasoning
Google reports this 8-needle result at a 128K average context length. We keep it display-only instead of merging it into the weighted MRCRv2 lane.
BenchLM freshness & provenance
Version
GDM-MRCR v2 128K average 2026
Refresh cadence
Quarterly
Staleness state
Current
Question availability
Public benchmark set
BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.
FAQ
What does GDM-MRCR v2 128K average measure?
Google's configuration-specific long-context retrieval result at a 128K average context length.
Which model scores highest on GDM-MRCR v2 128K average?
Gemini 3.7 Flash by Google currently leads with a score of 97% on GDM-MRCR v2 128K average.
How many models are evaluated on GDM-MRCR v2 128K average?
1 AI models have been evaluated on GDM-MRCR v2 128K average on BenchLM.
Know when it’s worth switching models
The model to choose, the cheaper alternative, and the release we would wait on.
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