Side-by-Side AI Model Capability & VRAM Matrix
Compare up to 4 frontier foundation models simultaneously across normalized capability pillars, API token workload costs, and local GPU VRAM hardware sizing.
Head-to-Head Capability, API Cost & VRAM Comparator
Normalized 0–100 multi-pillar comparison, category winner deltas, interactive monthly token cost estimator, and local GPU sizing
Head-to-Head Capability, Economics & VRAM Comparator4 Models
Normalized 0–100 cross-benchmark profile, category winner breakdown, API token cost calculator, and local GPU sizing
Normalized Capability Profile (Across Categories)
*Arena Elo normalized (1100–1550 → 0–100) for proportional visual comparison| Benchmark / Architectural Spec | claude-opus-5-5 | gpt-6-1-sol | gemini-4-argon | mimo-v2-6-pro | Pillar Winner & Delta |
|---|---|---|---|---|---|
| Creator & License | UnknownProprietary | UnknownProprietary | UnknownProprietary | UnknownProprietary | — |
| Context Window & Modality | — (Text) | — (Text) | — (Text) | — (Text) | — |
| API Pricing (In / Out per 1M) | — | — | — | — | Lower is cheaper |
| Throughput & TTFT Latency | — | — | — | — | Higher is faster |
Coding & Agentic(2 benchmarks) | |||||
SWE-bench Verified(%) | — | — | — | — | — |
BFCL Tool Calling(%) | — | — | — | — | — |
General & Arena(3 benchmarks) | |||||
BenchLM Index(Index) | — | — | — | — | — |
Chatbot Arena(Elo) | — | — | — | — | — |
LiveBench 2.0(%) | — | — | — | — | — |
Math & Science(2 benchmarks) | |||||
MATH-500(%) | — | — | — | — | — |
GPQA Diamond(%) | — | — | — | — | — |
Reasoning & Alignment(1 benchmark) | |||||
ARC-AGI-3(%) | — | — | — | — | — |
Inference Performance(1 benchmark) | |||||
Output Speed(tok/s) | — | — | — | — | — |
Compute & Scaling(1 benchmark) | |||||
Training Compute(log10 FLOP) | — | — | — | — | — |
Holistic Evaluation(1 benchmark) | |||||
HELM Core Index(%) | — | — | — | — | — |
Interactive API Token Cost Calculator
“Can I Run It?” Self-Hosted VRAM & GPU Sizing
Includes 16K KV-Cache OverheadAbout Đại Việt (daiviet.dev) — Decentralized AI Intelligence
Đại Việt is an open-source AI benchmark aggregator and real-time GitHub trending intelligence engine. Operating on automated 15-minute ingestion cycles, it unifies empirical frontier model evaluations, compound agent harnesses, token pricing telemetry, and breakout open-source code repositories.
15-Min Star Velocity
Tracks viral open-source repositories across GitHub with rolling star snapshots at 15-minute, 24-hour, and 7-day windows to detect breakthrough AI tools before they peak.
10+ Benchmark Suites
Aggregates SWE-bench Verified, LiveBench 2.0, Berkeley Function Calling (BFCL), LMSYS Arena human Elo, Stanford HELM, MTEB, Epoch AI, MATH-500, and IFEval with 95% confidence intervals and VRAM specs.
Agent Leaderboards
Evaluates compound agent systems (Claude Code, OpenHands, SWE-agent, Codex CLI) across real-world issue resolution, multi-step tool calls, and cost-per-resolved-task.
830+ Model Catalog
Normalized specifications and cost calculators covering input, output, and cache read pricing across frontier models from OpenAI, Anthropic, Google, and open-source models.