Unverified50% confidenceBenchmarkExact time
On TerminalBench 4.0, Large 4 scores 41%, a 13-percentage-point improvement over the preview version from three weeks earlier, and Mistral says it ranks first among open-source models.
1
Sources
50%
Confidence
Short-term (~14 days)
Relevance
10/30/2026
First Seen
Valid until: 11/13/2026
Sources
Related Entities
Related Claims
UnverifiedMistral officially says that after three additional weeks of training, Large 4's Terminal Bench score rose from 28% to 41%.70% similarUnverifiedOn the Qwen3-VL-4B model, fine-tuning with procedurally generated data raises its accuracy on SpaceCast-Bench from 34.0% to 65.7%, and achieves a macro-average gain across six out-of-domain benchmarks.66% similarPartially VerifiedV4.1 Flash 1017's score on Terminal-Bench 4.0 rose from 31.2% to 42.3%, a relative improvement of 35% in five weeks.66% similarUnverifiedOn Terminal Bench, Fable 5.1's score is approximately 20 points higher than Grok 4.7's, representing close to a 50% improvement.66% similarUnverifiedTEMPEST outperforms the best classical model by 17.9 percentage points and the strongest triplet-loss baseline by 58.4 percentage points.66% similar
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