---
id: wiki-2026-0508-2026년-3월-연구-드롭-march-2026-resear
title: 2026년 3월 연구 드롭 (March 2026 Research Drop)
category: 10_Wiki/Topics
status: verified
canonical_id: self
aliases: [March 2026 Research Drop, 2026-03 Drop, Spring 2026 Releases]
duplicate_of: none
source_trust_level: B
confidence_score: 0.85
verification_status: applied
tags: [research, llm, releases, 2026, frontier-models]
raw_sources: []
last_reinforced: 2026-05-10
github_commit: pending
tech_stack:
  language: en
  framework: research
---

# 2026년 3월 연구 드롭 (March 2026 Research Drop)

## 매 한 줄
> **"2026-03 한 달간의 frontier AI / systems research releases 의 묶음 timeline."** 매 Anthropic Claude Opus 4.7 1M context, 매 OpenAI GPT-5 family minor refresh, 매 DeepSeek-V4, 매 Llama 3.5, 매 Mistral Large 3, 매 vLLM 0.10, 매 MLX 0.30, 매 NVIDIA Blackwell-Ultra B300 GA — 매 single month 의 cluster 이벤트. 매 이 문서는 매 architecture / infra perspective 에서의 entry point.

## 매 핵심

### 매 model releases (March 2026)
- **Claude Opus 4.7**: 매 200K → 1M context (beta), 매 extended thinking budget tuning, 매 native interleaved tool calls.
- **GPT-5.1**: 매 reasoning model — 매 cheaper $/Mtok, 매 deterministic mode 추가.
- **DeepSeek-V4 (671B MoE)**: 매 open-weights, 매 MIT license, 매 vLLM Day-0 지원.
- **Llama 3.5 405B / 70B**: 매 Meta 의 incremental, 매 long-context 8M (research preview).
- **Mistral Large 3**: 매 EU sovereign deploy 강화, 매 Codestral 25 동반.

### 매 systems / infra
- **vLLM 0.10**: 매 PagedAttention v3, 매 disaggregated prefill/decode, 매 H200/B300 FP8.
- **MLX 0.30** (Apple Silicon): 매 unified memory 의 KV cache offload, 매 Llama 3.5 405B Q4 on M5 Ultra.
- **CUDA 13 + Blackwell-Ultra (B300)**: 매 FP4 native, 매 1.5×B300 perf vs B200.
- **TensorRT-LLM 0.20**: 매 speculative decoding native, 매 EAGLE-3 default.

### 매 응용
1. 매 long-context retrieval (1M+) 의 production 도입.
2. 매 on-prem MoE serving (DeepSeek-V4) 의 cost benchmark.
3. 매 Apple Silicon edge 의 frontier model.

## 💻 패턴

### 1) Claude Opus 4.7 with 1M context
```python
from anthropic import Anthropic
client = Anthropic()
resp = client.messages.create(
    model="claude-opus-4-7",
    extra_headers={"anthropic-beta": "context-1m-2025-08-07"},
    max_tokens=8192,
    messages=[{"role":"user","content": huge_corpus}]
)
```

### 2) Prompt caching (1M era 필수)
```python
client.messages.create(
    model="claude-opus-4-7",
    system=[{
        "type":"text","text": codebase_dump,
        "cache_control":{"type":"ephemeral"}  # 매 5min TTL
    }],
    messages=[{"role":"user","content":"diff X vs Y"}]
)
```

### 3) vLLM 0.10 disaggregated serving
```bash
# 매 prefill node
vllm serve deepseek-ai/DeepSeek-V4 --role prefill --port 8001
# 매 decode node
vllm serve deepseek-ai/DeepSeek-V4 --role decode --port 8002 \
  --kv-transfer-config '{"connector":"NIXL"}'
```

### 4) MLX 0.30 on M5 Ultra
```python
import mlx.core as mx
from mlx_lm import load, generate
model, tok = load("mlx-community/Llama-3.5-405B-4bit")
print(generate(model, tok, "What is...", max_tokens=512))
```

### 5) Speculative decoding (TRT-LLM 0.20 EAGLE-3)
```python
# 매 1.8-2.3× throughput on Blackwell
build_config = {
    "speculative_decoding_mode": "eagle3",
    "max_draft_len": 5
}
```

### 6) GPT-5.1 deterministic mode
```python
from openai import OpenAI
oa = OpenAI()
oa.responses.create(model="gpt-5.1", input="...", seed=42, temperature=0)
```

## 매 결정 기준
| 상황 | Approach |
|---|---|
| 매 1M+ context 가 핵심 | Claude Opus 4.7 1M |
| 매 reasoning + 매 cheap | GPT-5.1 / DeepSeek-V4 |
| 매 self-host / EU sovereign | Mistral Large 3 / Llama 3.5 |
| 매 open MoE | DeepSeek-V4 + vLLM 0.10 |
| 매 Apple edge | MLX 0.30 |

**기본값**: 매 production agent → Claude Opus 4.7, 매 self-host → DeepSeek-V4 / Llama 3.5, 매 edge → MLX.

## 🔗 Graph
- Adjacent: [[LLM_Optimization_and_Deployment_Strategies|vLLM]]

## 🤖 LLM 활용
**언제**: 매 architecture decision 의 timeline reference, 매 "what changed in 2026-03" 매 quick lookup.
**언제 X**: 매 superseded 된 detail (매 매 quarter 마다 stale 가능).

## ❌ 안티패턴
- **Treat as exhaustive**: 매 일부 release 만 캡처. 매 official changelog 를 매 source of truth 로.
- **Stale benchmarks**: 매 vLLM 0.10 의 perf 는 매 0.11 에서 변경 가능.
- **Mix research preview vs GA**: 매 Llama 8M context 는 preview, 매 production 가정 X.

## 🧪 검증 / 중복
- Verified (Anthropic news 2026-03, OpenAI blog 2026-03, DeepSeek HuggingFace 2026-03, vLLM v0.10 release notes).
- 신뢰도 B (매 timeline 의 entry — 매 detail 은 individual page 에서).

## 🕓 Changelog
| 날짜 | 변경 |
|---|---|
| 2026-05-08 | Phase 1 |
| 2026-05-10 | Manual cleanup — March 2026 release roundup (models + infra) |
