LLM Benchmarks 2026
Top 10 models · quality · cost · latency
Comparative table of top LLMs available in May 2026: Claude 4.7, GPT-5, Gemini 3 Pro, Llama 4 Maverick, DeepSeek R1, Mistral Large 3, Grok 4, Qwen 3.5 and more. Updated monthly.
Last update: May 2, 2026 · Next: June 1, 2026
Master table — Quality vs Cost vs Latency
SWE-bench Verified = coding · MMLU = reasoning · HumanEval = code generation · Latency = p50 single 1k token request · Cost = per million output tokens
| Model | Provider | Context | SWE-bench | MMLU | HumanEval | Latency p50 | $/Mtok output | Brainiall |
|---|---|---|---|---|---|---|---|---|
| Claude 4.7 Sonnet | Anthropic | 200K | 78% | 90.2% | 94.8% | 980ms | $15 | claude-sonnet-4-7 |
| GPT-5 | OpenAI | 256K | 74% | 91.5% | 96.2% | 820ms | $30 | gpt-5 |
| Gemini 3 Pro | 10M | 68% | 92.1% | 93.4% | 730ms | $10 | gemini-3-pro | |
| Grok 4 | xAI | 128K | 76% | 89.7% | 94.0% | 1100ms | $15 | Q3 2026 |
| Llama 4 Maverick | Meta | 128K | 62% | 88.4% | 90.1% | 650ms | $0.60 | llama-4-maverick |
| DeepSeek R1 | DeepSeek | 128K | 58% | 87.2% | 88.5% | 2400ms | $0.55 | deepseek-r1 |
| Mistral Large 3 | Mistral | 128K | 55% | 85.6% | 86.3% | 890ms | $8 | mistral-large-3 |
| Qwen 3.5 Max | Alibaba | 256K | 52% | 84.3% | 87.1% | 920ms | $2 | qwen-3.5-max |
| Claude Haiku 4 | Anthropic | 200K | 42% | 77.8% | 82.4% | 450ms | $1.25 | claude-haiku-4-5 |
| Gemini 3 Flash | 1M | 38% | 76.4% | 79.8% | 380ms | $0.30 | gemini-3-flash |
Recommendations by use case
🚀 Coding / dev assistance
Claude 4.7 Sonnet (78% SWE-bench). Backup: Grok 4 or GPT-5. Use in Cursor/Windsurf/Cline with Brainiall.
📚 Reasoning / analysis
GPT-5 or Gemini 3 Pro. GPT-5 leads HumanEval; Gemini 3 leads MMLU + 10M context.
💰 Cost / volume
Gemini 3 Flash ($0.30/Mtok) or DeepSeek R1 ($0.55/Mtok). For predictable: Brainiall flat $5.99/mo.
⚡ Latency-critical
Claude Haiku 4 (450ms) or Gemini 3 Flash (380ms). For Llama 4 on LPU: Groq.
🌐 Long context (>200K)
Gemini 3 Pro (10M context — only one in market) or Gemini 3 Flash (1M).
🔓 Open-source self-hosted
Llama 4 Maverick (62% SWE-bench, 90% HumanEval) or DeepSeek R1 (reasoning).
Access all 10 models via 1 API
Brainiall is an AI gateway with 104 models (including all from the table above) via OpenAI-compatible API. $5.99/mo flat, no chat cap. Drop-in OpenAI SDK replacement.
from openai import OpenAI
client = OpenAI(
base_url="https://api.brainiall.com/v1",
api_key="brnl-..."
)
# Use any of 104 models
for model in ["claude-sonnet-4-7", "gpt-5", "gemini-3-pro", "llama-4-maverick"]:
r = client.chat.completions.create(
model=model,
messages=[{"role":"user","content":"Compare frameworks A vs B"}]
)Methodology + sources
SWE-bench Verified: percentage of GitHub issues correctly resolved by the model. Source: swebench.com (official).
MMLU: Massive Multitask Language Understanding — accuracy across 57 academic topics. Source: public provider leaderboards + papers.
HumanEval: pass@1 rate on Python programming problems. Source: OpenAI HumanEval dataset + provider self-reported.
p50 latency: measured across 100 single 1k-token requests via Brainiall API (no cache), Frankfurt EU server. Your latency depends on geography + chosen provider.
Cost per Mtok output: public pricing from each direct provider (Anthropic, OpenAI, Google, etc) in USD per million output tokens (input typically 2-3× cheaper).
Next update: June 1, 2026 (monthly). License: CC BY 4.0 — may reproduce with attribution.
Get started — 104 models for $5.99/mo
7 days free, no card · OpenAI-compatible API · drop-in
Get started free