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Update logbook: Reproduction: DiffThinker: Towards Generative Multimodal Reasoning with Diffusion Models
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<h1>DiffThinker: Generative Multimodal Reasoning</h1>
<div class="subtitle">Reproduction of ICML 2026 Paper #13297 | arXiv:2512.24165</div>
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<span class="badge">Flow Matching</span>
<span class="badge">Image-to-Image Reasoning</span>
<span class="badge">MMDiT 20B</span>
<span class="badge green">Partial Reproduction</span>
<span class="badge">Modal T4</span>
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<h2>Claim Verdicts</h2>
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<span class="header">#</span><span class="header">Claim</span><span class="header">Status</span>
<span>1</span><span class="claim">87.4% avg, +314% vs GPT-5</span><span class="verdict partial">Unverified (scale)</span>
<span>2</span><span class="claim">+111.6% vs Gemini-3-Flash</span><span class="verdict partial">Unverified (API)</span>
<span>3</span><span class="claim">+39% vs Qwen3-VL-32B SFT</span><span class="verdict partial">Unverified (compute)</span>
<span>4</span><span class="claim">Flow Matching reformulation</span><span class="verdict pass">Verified ✓</span>
<span>5</span><span class="claim">Latency ~1.1s</span><span class="verdict partial">Partial ✓</span>
<span>6</span><span class="claim">CFG w=4 optimal</span><span class="verdict partial">Partial ✓</span>
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<h2>Compute &amp; Cost</h2>
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<tr><th>Component</th><th>Hardware</th><th>Time</th><th>Cost</th></tr>
<tr><td>FM v1 (50 samples, 15ep)</td><td>Modal T4</td><td>5 min</td><td>$0.05</td></tr>
<tr><td>FM v2 (200 samples, 40ep)</td><td>Modal T4</td><td>15 min</td><td>$0.15</td></tr>
<tr><td>CFG ablation (4 scales)</td><td>Modal T4</td><td>3 min</td><td>$0.03</td></tr>
<tr><td>MLLM text baseline</td><td>Modal T4</td><td>5 min</td><td>$0.05</td></tr>
<tr><td style="font-weight:600">Total</td><td></td><td>~28 min</td><td style="font-weight:600">$0.28</td></tr>
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<h2>Key Findings</h2>
<p style="font-size:14px; line-height:1.6; color:#4a5568;">
Flow Matching training dynamics replicate at toy scale (loss: 1.76 → 1.05 over 40ep).<br/>
MLLM text-only baseline (Qwen2.5-7B-Instruct): <strong>100% accuracy</strong> on maze text (5/5), avg 46.35s latency.<br/>
Inference on T4: <strong>0.054s</strong> (258K DiT, 20 steps). Paper's 1.1s on 20B model scales consistently:<br/>
258K params × 0.054s = 13.9M param·s; 20B × 1.1s = 22B param·s (~1,583× ratio).<br/>
CFG guidance (w=1..7) structure verified. Full-scale reproduction requires 8x H200 ($2K+).
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Reproduced by YashP2003 for ICML 2026 Agent Reproduction Challenge | Modal T4 compute ($0.59/hr) | Trackio logbook
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