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🏆 Best Hybrid Score | grok-4-0709 | 72.3% |
📉 Worst Hybrid Score | google/gemini-2.5-pro-preview-05-06 | 53.6% |
🤔 Most Differentiating Prompt | User: What are some of the key strategies and technologies available to significantly reduce greenhouse gas emissions across the global economy? | σ = 0.15 |
👯 Most Semantically Similar Pair | x-ai/grok-3-mini-beta vs grok-4-0709 | 93.7% |
A consolidated overview of performance and semantic consistency metrics.
Grand average of all individual model-prompt key point coverage scores. StdDev (±) reflects variability around this grand mean, also in percentage points. A smaller StdDev suggests more consistent coverage scores across all model-prompt pairs; a larger StdDev indicates more diverse performance.
Range of average key point coverage scores across different prompts (from the prompt with the lowest average coverage to the one with the highest). A large spread indicates substantial differences in how challenging prompts were or how models performed on them.
Measures how much the average key point coverage score varies from one prompt to another. A high value (e.g., >20-25%) suggests that average performance was quite different across prompts; a low value suggests more consistent average performance from prompt to prompt.
Overall average of hybrid scores (balancing semantic similarity to ideal and key point coverage) for each model-prompt pair. Higher is generally better. A smaller StdDev suggests more consistent hybrid performance across all model-prompt pairs.
Models: openrouter:anthropic/claude-3.5-haiku, openrouter:anthropic/claude-sonnet-4, openrouter:cohere/command-a, openrouter:deepseek/deepseek-chat-v3-0324, openrouter:deepseek/deepseek-r1, openrouter:google/gemini-2.5-flash-preview-05-20, openrouter:google/gemini-2.5-pro-preview-05-06, openrouter:mistralai/mistral-large-2411, openrouter:mistralai/mistral-medium-3, openrouter:openai/gpt-4.1-mini, openrouter:openai/gpt-4.1-nano, openrouter:openai/gpt-4.1, openrouter:openai/gpt-4o-mini, openrouter:openai/gpt-4o, openrouter:openai/o4-mini, openrouter:x-ai/grok-3-mini-beta, openrouter:x-ai/grok-3, xai:grok-4-0709
E.g. generic-climate-change-drivers: User: What are the primary factors driving the significant changes in Earth's climate observed over ...
Average semantic similarity (0-1 scale) of models to the ideal response; scores closer to 1.0 are better. The StdDev shows how consistently models achieve this. A very low StdDev (e.g., <0.05) often means models performed very similarly on this metric.
Metric | Value | Explanation |
---|---|---|
Overall Average Key Point Coverage | 55.7% (±19.5%) | Grand average of all individual model-prompt key point coverage scores. StdDev (±) reflects variability around this grand mean, also in percentage points. A smaller StdDev suggests more consistent coverage scores across all model-prompt pairs; a larger StdDev indicates more diverse performance. |
Avg. Prompt Coverage Range | 28% - 78% (Spread: 50 pp) | Range of average key point coverage scores across different prompts (from the prompt with the lowest average coverage to the one with the highest). A large spread indicates substantial differences in how challenging prompts were or how models performed on them. |
StdDev of Avg. Prompt Coverage | 14.7% | Measures how much the average key point coverage score varies from one prompt to another. A high value (e.g., >20-25%) suggests that average performance was quite different across prompts; a low value suggests more consistent average performance from prompt to prompt. |
Overall Average Hybrid Score | 62.0% (±12.8%) | Overall average of hybrid scores (balancing semantic similarity to ideal and key point coverage) for each model-prompt pair. Higher is generally better. A smaller StdDev suggests more consistent hybrid performance across all model-prompt pairs. |
Number of Models Evaluated | 18 | Models: openrouter:anthropic/claude-3.5-haiku, openrouter:anthropic/claude-sonnet-4, openrouter:cohere/command-a, openrouter:deepseek/deepseek-chat-v3-0324, openrouter:deepseek/deepseek-r1, openrouter:google/gemini-2.5-flash-preview-05-20, openrouter:google/gemini-2.5-pro-preview-05-06, openrouter:mistralai/mistral-large-2411, openrouter:mistralai/mistral-medium-3, openrouter:openai/gpt-4.1-mini, openrouter:openai/gpt-4.1-nano, openrouter:openai/gpt-4.1, openrouter:openai/gpt-4o-mini, openrouter:openai/gpt-4o, openrouter:openai/o4-mini, openrouter:x-ai/grok-3-mini-beta, openrouter:x-ai/grok-3, xai:grok-4-0709 |
Number of Prompts Analyzed | 19 | E.g. generic-climate-change-drivers: User: What are the primary factors driving the significant changes in Earth's climate observed over ... |
Average Semantic Similarity to Ideal | 0.735 (±0.016) | Average semantic similarity (0-1 scale) of models to the ideal response; scores closer to 1.0 are better. The StdDev shows how consistently models achieve this. A very low StdDev (e.g., <0.05) often means models performed very similarly on this metric. |
Average key point coverage extent for each model across all prompts.
Prompts vs. Models | Claude 3.5 Haiku | Claude Sonnet 4 | Command A | Deepseek Chat V3 0324 | Deepseek R1 | Gemini 2.5 Flash Preview 05 20 | Gemini 2.5 Pro Preview 05 06 | Mistral Large 2411 | Mistral Medium 3 | GPT 4.1 Mini | GPT 4.1 Nano | GPT 4.1 | GPT 4o Mini | GPT 4o | O4 Mini | Grok 3 Mini Beta | Grok 3 | Grok 4 0709 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Score | 17th 45.1% | 11th 53.2% | 10th 56.3% | 5th 62.0% | 6th 61.5% | 2nd 62.9% | 18th 44.1% | 14th 47.7% | 8th 59.6% | 12th 52.3% | 13th 48.9% | 7th 61.0% | 15th 46.1% | 16th 45.9% | 9th 59.6% | 3rd 62.8% | 4th 62.5% | 1st 73.2% | |
78.1% | 40% | 78% | 78% | 80% | 78% | 75% | 60% | 83% | 78% | 78% | 83% | 83% | 78% | 80% | 75% | 93% | 90% | 95% | |
35.1% | 30% | 23% | 38% | 30% | 38% | 30% | 40% | 35% | 38% | 35% | 30% | 35% | 18% | 33% | 35% | 43% | 40% | 60% | |
66.6% | 50% | 46% | 71% | 77% | 77% | 88% | 0% | 54% | 71% | 75% | 60% | 79% | 60% | 56% | 92% | 60% | 83% | 100% | |
70.2% | 55% | 73% | 58% | 68% | 53% | 83% | 78% | 63% | 65% | 75% | 55% | 75% | 65% | 60% | 85% | 78% | 85% | 90% | |
58.3% | 55% | 60% | 58% | 58% | 65% | 40% | 60% | 55% | 58% | 68% | 68% | 60% | 53% | 55% | 55% | 58% | 60% | 63% | |
64.6% | 63% | 61% | 77% | 68% | 79% | 72% | 39% | 61% | 70% | 68% | 66% | 70% | 52% | 63% | 20% | 77% | 75% | 82% | |
54.2% | 46% | 52% | 50% | 48% | 83% | 67% | 25% | 31% | 63% | 60% | 48% | 75% | 40% | 33% | 58% | 58% | 56% | 83% | |
52.4% | 40% | 60% | 50% | 53% | 50% | 80% | 40% | 50% | 53% | 35% | 35% | 60% | 33% | 30% | 75% | 48% | 98% | ||
54.8% | 38% | 50% | 55% | 73% | 65% | 60% | 60% | 48% | 70% | 43% | 45% | 63% | 60% | 48% | 58% | 55% | 30% | 65% | |
51.2% | 50% | 45% | 58% | 53% | 68% | 58% | 50% | 43% | 48% | 58% | 55% | 55% | 38% | 43% | 33% | 63% | 53% | ||
67.9% | 50% | 71% | 67% | 83% | 83% | 79% | 27% | 58% | 75% | 58% | 67% | 65% | 54% | 52% | 83% | 79% | 90% | 81% | |
35.9% | 30% | 30% | 43% | 43% | 53% | 50% | 25% | 35% | 43% | 23% | 30% | 35% | 28% | 30% | 30% | 43% | 48% | 28% | |
32.1% | 40% | 33% | 40% | 40% | 40% | 25% | 18% | 23% | 43% | 15% | 20% | 38% | 10% | 15% | 40% | 40% | 40% | 58% | |
65.3% | 50% | 78% | 60% | 75% | 55% | 80% | 60% | 58% | 75% | 53% | 50% | 55% | 58% | 58% | 63% | 73% | 80% | 95% | |
64.4% | 38% | 68% | 68% | 73% | 68% | 60% | 75% | 48% | 68% | 70% | 53% | 73% | 50% | 48% | 88% | 70% | 73% | 68% | |
74.3% | 65% | 68% | 80% | 90% | 68% | 85% | 55% | 70% | 80% | 70% | 73% | 78% | 70% | 65% | 83% | 78% | 85% | ||
27.6% | 23% | 20% | 25% | 58% | 40% | 35% | 8% | 10% | 25% | 20% | 15% | 48% | 15% | 20% | 45% | 20% | 40% | 30% | |
40.9% | 40% | 43% | 38% | 45% | 48% | 45% | 38% | 30% | 40% | 35% | 35% | 33% | 43% | 25% | 58% | 45% | 43% | 53% | |
65.1% | 54% | 52% | 56% | 63% | 58% | 83% | 79% | 52% | 69% | 55% | 42% | 79% | 50% | 58% | 71% | 85% | 69% | 96% |