Grade School Math 8K (GSM8K)
A grade-school mathematical reasoning benchmark reported in DeepSeek-V4 base-model evaluations.
Data verified 33 confirmed releases in the last 30 daysSee provider release alertsBenchmark score on GSM8K — September 15, 2026
We mirror the published score view for GSM8K. Celeris-1 leads the public snapshot at 93.7%, followed by DeepSeek V4 Pro Base (92.6%) and DeepSeek V4 Flash Base (90.8%). We do not use these results to rank models overall.
Celeris-1
Celeris
DeepSeek V4 Pro Base
DeepSeek
DeepSeek V4 Flash Base
DeepSeek
4 modelsMathCurrentDisplay onlyUpdated September 15, 2026
Benchmark score table (4 models)
ScoreThe published GSM8K snapshot places Celeris-1 first at 93.7%. The third row is 2.9 points behind. The broader top-10 range is 7.6 points, so many of the published results sit in a relatively narrow band.
4 models have been evaluated on GSM8K. The benchmark falls in the Math category. This category carries a 5% weight in BenchLM.ai's overall scoring system. GSM8K is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
About GSM8K
Year
2026
Tasks
Grade-school math word problems
Format
Exact match
Difficulty
Grade-school math
BenchLM stores GSM8K as a display-only provider-table row when exact values are published in DeepSeek-V4 evaluations.
BenchLM freshness & provenance
Version
GSM8K 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 GSM8K measure?
A grade-school mathematical reasoning benchmark reported in DeepSeek-V4 base-model evaluations.
Which model scores highest on GSM8K?
Celeris-1 by Celeris currently leads with a score of 93.7% on GSM8K.
How many models are evaluated on GSM8K?
4 AI models have been evaluated on GSM8K 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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