{ name: „GPT-5 (OpenAI)“, modalities: „Text, Image, Audio, Video“, context: „1M tokens“, best: „Best-in-class reasoning, full multimodal“, strengths: [„Full multimodal“, „1M context“, „Best reasoning“], api: true, onprem: false, edge: false, accuracy: „highest“, cost: „premium“, latency: „medium“, flagship: true },
{ name: „Gemini Ultra 2.0“, modalities: „Text, Image, Audio, Video, Code“, context: „2M tokens“, best: „Longest context, Google ecosystem“, strengths: [„2M context“, „Google integration“, „Code support“], api: true, onprem: false, edge: false, accuracy: „highest“, cost: „premium“, latency: „medium“, flagship: true },
{ name: „Claude 4 Opus“, modalities: „Text, Image“, context: „500K tokens“, best: „Enterprise safety, long documents“, strengths: [„Enterprise safety“, „500K context“, „Document analysis“], api: true, onprem: false, edge: false, accuracy: „highest“, cost: „premium“, latency: „medium“, flagship: true },
{ name: „Llama 4 Maverick“, modalities: „Text, Image“, context: „1M tokens“, best: „Open weights, on-prem deployment“, strengths: [„Open source“, „On-prem capable“, „1M context“], api: true, onprem: true, edge: false, accuracy: „high“, cost: „budget“, latency: „medium“, flagship: false },
{ name: „Pixtral 12B (Mistral)“, modalities: „Text, Image“, context: „128K tokens“, best: „Efficient multimodal, good vision“, strengths: [„Apache license“, „Strong vision“, „Efficient“], api: true, onprem: true, edge: false, accuracy: „high“, cost: „balanced“, latency: „low“, flagship: false },
{ name: „InternVL2 26B“, modalities: „Text, Image“, context: „128K tokens“, best: „Document understanding, charts“, strengths: [„Best open document AI“, „Chart reasoning“, „Multilingual“], api: true, onprem: true, edge: false, accuracy: „high“, cost: „budget“, latency: „medium“, flagship: false },
{ name: „Mistral Multimodal 7B“, modalities: „Text, Image, Audio“, context: „256K tokens“, best: „Edge deployment, efficient“, strengths: [„Smallest multimodal“, „Audio support“, „Edge-capable“], api: true, onprem: true, edge: true, accuracy: „good“, cost: „budget“, latency: „low“, flagship: false },
{ name: „Qwen-VL 7B“, modalities: „Text, Image“, context: „32K tokens“, best: „Multilingual, lightweight“, strengths: [„Multilingual vision“, „Lightweight“, „Open source“], api: true, onprem: true, edge: true, accuracy: „good“, cost: „budget“, latency: „low“, flagship: false }
];

// Q1 modality match

if (a.q1 === "full-multimodal" && m.modalities.includes("Audio") && m.modalities.includes("Video")) s += 3;
else if (a.q1 === "text-audio" && m.modalities.includes("Audio")) s += 3;
else if (a.q1 === "text-image" && m.modalities.includes("Image")) s += 3;
else if (a.q1 === "vision-code" && m.modalities.includes("Code")) s += 3;
else if (a.q1 === "vision-code" && m.modalities.includes("Image")) s += 1;
else s += 1;

// Q2 deployment

if (a.q2 === "api" && m.api) s += 2;
if (a.q2 === "on-prem" && m.onprem) s += 3;
if (a.q2 === "edge" && m.edge) s += 3;
else if (a.q2 === "edge" && m.onprem) s += 1;

// Q3 context

// Q4 accuracy

if (a.q4 === "highest" && m.accuracy === "highest") s += 3;
else if (a.q4 === "high" && (m.accuracy === "highest" || m.accuracy === "high")) s += 3;
else if (a.q4 === "good") s += 2;

// Q5 budget

if (a.q5 === "premium" && m.cost === "premium") s += 2;
else if (a.q5 === "balanced" && m.cost === "balanced") s += 3;
else if (a.q5 === "budget" && m.cost === "budget") s += 3;
else if (a.q5 === "balanced" && m.cost === "budget") s += 2;

// Q6 differentiator

if (a.q6 === "speed" && m.latency === "low") s += 3;
if (a.q6 === "safety" && m.name.includes("Claude")) s += 3;
if (a.q6 === "multilingual" && (m.name.includes("Qwen") || m.name.includes("InternVL"))) s += 3;
if (a.q6 === "vision" && (m.name.includes("Pixtral") || m.name.includes("InternVL") || m.name.includes("GPT-5"))) s += 2;

// Flagship bonus for production

if (m.flagship) s += 1;
return s;

}

grid.innerHTML = scored.slice(0, 4).map((m, i) => `

${i === 0 ? ‚TOP PICK‚ : “}