Large Language Models

Frontier and open-weight language models for chat, reasoning, coding and agents, compared by price, context window and benchmark.

Google

Gemini 4 Argon

Google DeepMind's Sept 30, 2026 frontier model — DeepSWE v1.1 77.9%, AutomationBench 51.3%, LVBench 91.7%, 1M-token output limit, $2 / $10 introductory price. Limited access via the Fairwind Program; broad rollout pending.

$2 / $10 per 1M tokens (introductory launch price, input / output)
Anthropic

Claude Opus 5.5

Anthropic's Sept 22, 2026 flagship — Fable 5.1-level performance on most work at $4 / $20, 40% cheaper than Opus 5 on typical workloads, 1M context, 30%+ faster output, Terminal-Bench 4.0 66.4%.

$4 / $20 per 1M tokens (input / output)
OpenAI

GPT-6

OpenAI's GPT-6 family — Astra ($10 / $50, Sept 3), Sol and Luna (Sept 22), GPT-6.1 Sol (Sept 29, near-Astra intelligence at $2 / $10) — 1.05M context, ARC-AGI-3 99.9%, FrontierMath Tier 4 98%.

Astra $10/$50 · 6.1 Sol $2/$10 · Sol $2/$10 · Luna $0.10/$0.50 per 1M
Anthropic

Claude Fable 5.1

Anthropic's Sept 1, 2026 Mythos-class update — ~25% cheaper than Fable 5 on typical workloads via 75% lower cache reads ($0.25), 60% fewer cyber false positives, Terminal-Bench-Science 52.6% vs 24.7%. Same model as the restricted Mythos 5.1.

$10 / $50 per 1M tokens (input / output)
Z.ai open

GLM-5.3

Z.ai's August 14, 2026 post-training upgrade of GLM-5.2 — the same 753B base with 50% better coding on its in-house bench, Terminal-Bench 3.0 up from 4.6 to 28.3, a 1M context, open weights, and the top CyberGym score reported at launch.

$1.40 / $4.40 per 1M tokens (input / output)
Meta open

Muse Glimmer

Meta's first Apache 2.0 model — a 30B dense multimodal agent optimized for local deployment on consumer GPUs, with DFlash speculative decoding for fast inference.

Free (open weights) / hosted via partners
Meta

Muse Spark 1.2

Meta's coding-focused flagship — co-trained with Muse Code terminal agent, TB 2.1 82.9%, $1.25/$4.25 standard pricing, 1M context, open weights announced.

$1.25 / $4.25 per 1M tokens (input / output)
Alibaba open

Qwen3.8-Max

Alibaba's flagship — 2.4T-parameter sparse MoE (95B active), multimodal, top scores on agentic/research benchmarks, $2/$6 pricing, with open weights released on August 12, 2026.

$2 / $6 per 1M tokens (input / output)
Anthropic

Claude Opus 5

Anthropic's July 2026 flagship — near-Fable intelligence at Opus pricing ($5/$25), SOTA on Frontier-Bench, ARC-AGI-3 and OSWorld 2.0, with thinking on by default.

$5 / $25 per 1M tokens (input / output)
Google

Gemini 3.6 Flash

Google's July 2026 workhorse model — 17% fewer output tokens than 3.5 Flash, cheaper at $1.50/$7.50, optimized for agentic coding and knowledge work.

$0.75 / $3.75 per 1M tokens through Dec 31, 2026 (input / output); $1.50 / $7.50 from Jan 1, 2027
Moonshot AI open

Kimi K3

The world's first open 3T-class frontier model — 2.8T parameters (104B active MoE), 1M context, native vision, open weights under a revenue-tiered custom license.

$3 / $15 per 1M tokens (input / output)
xAI

Grok 4.5

xAI's July 2026 coding-and-agent flagship — 500K context, $2/$6 per 1M, default in Grok Build and Cursor, trained alongside Cursor.

$2 / $6 per 1M tokens (input / output)
Anthropic

Claude Sonnet 5

Anthropic's most agentic Sonnet yet — near-Opus quality for coding, agents and knowledge work at $2/$10 introductory pricing, and the new default model on claude.ai.

$2 / $10 per 1M tokens (launch intro rate; $3 / $15 standard was planned from Sep 1)
OpenAI

GPT-5.6

OpenAI's GPT-5.6 family — flagship Sol, balanced Terra and fast Luna — with max/ultra reasoning modes and tiered pricing. Generally available since July 9, 2026.

Sol $5/$30 · Terra $2.50/$15 · Luna $1/$6 per 1M
Sakana AI

Sakana Fugu

Tokyo-based Sakana AI's June 2026 multi-agent orchestration system — shipped as a single OpenAI-compatible model that dynamically routes each task to a swappable pool of frontier and open models.

Fugu Ultra API $5 / $30 per 1M tokens (input / output)
Z.ai open

GLM-5.2

Z.ai's open-weight long-horizon flagship — a 753B-param MoE with a stable 1M context under an MIT license, beating GPT-5.5 on several coding benchmarks.

~$1.40 / $4.40 per 1M tokens (input / output)
Moonshot AI open

Kimi K2.7 Code

Moonshot's open-weight agentic coding flagship — a 1T-param MoE (32B active) with 256K context and native image/video input, thinking ~30% leaner than K2.6.

~$0.95 / $4.00 per 1M tokens (input / output)
Anthropic

Claude Fable 5

Anthropic's first Mythos-class model for general use — state-of-the-art on nearly every benchmark, with safety classifiers that fall back to Opus 4.8 on sensitive topics. Suspended by US export controls June 12–30, back globally since July 1.

$10 / $50 per 1M tokens (input / output)
Anthropic

Claude Opus 4.8

The June 2026 overall intelligence leader and top model for agentic coding, with the most careful hallucination calibration of any frontier model.

$5 / $25 per 1M tokens (input / output)
DeepSeek open

DeepSeek V4-Pro

The open-weight value champion — near-frontier coding (SWE-V ~85%) under an MIT license with a 1M-token context at a fraction of closed-model prices.

$1.32 / $3.96 per 1M tokens at peak (input cache-miss / output); $0.66 / $1.98 off-peak
OpenAI

GPT-5.5

OpenAI's unified reasoning-and-chat flagship — the strongest model for terminal-native agentic work, natively omnimodal across text, image, audio and video.

$5 / $30 per 1M tokens (input / output)
Google

Gemini 3.1 Pro

The highest-value closed frontier model — top-tier reasoning and native multimodality at roughly $2 per 1M input tokens with a 1M-token context.

$2 / $4–12 per 1M tokens (input / output)
Anthropic

Claude Haiku 5.5

Anthropic's Oct 7, 2026 small model — from $0.10 / $0.50 per 1M tokens (about 75% cheaper than Haiku 4.5), first Haiku with adjustable effort, 1M context, OSWorld 2.1 offline 72.4%.

$0.10 / $0.50 per 1M tokens for prompts up to 100K (input / output); $0.50 / $2.50 above 100K
Mistral AI

Mistral Large 4

Mistral's Oct 6, 2026 public preview — a 1.05T-parameter open-weight multimodal MoE (52B active) with 1M context, state-of-the-art among open models on cybersecurity, finance and law, DeepSWE v1.1 61.7%. Weights due end of October.

$1.36 / $4.18 per 1M tokens (input / output); preview sale 50% off at $0.68 / $2.09
Anthropic

Claude Sonnet 5.5

Anthropic's Sept 28, 2026 workhorse — Terminal-Bench 4.0 70.6%, CursorBench 4.0 55.5%, 30%+ faster than Sonnet 5 and up to 30% cheaper per task at an unchanged $2 / $10, with cache reads halved to $0.10.

$2 / $10 per 1M tokens (input / output)
Xiaomi open

MiMo-V2.6-Pro

Xiaomi's September 22, 2026 open-weight omni-modal flagship — a 1.02T-parameter MoE (42B active) with text, image, video and audio input, a 1M context and an MIT license, trained with six days of large-scale RL and priced at $0.435 / $0.87 per 1M tokens.

$0.435 / $0.87 per 1M tokens (input / output); ¥3 / ¥6
xAI

Grok 4.7

xAI's Sept 21, 2026 flagship for coding and knowledge work — a new, larger base model at Grok 4.6's $2 / $6 price and speed, 500K context, xhigh reasoning, CursorBench 4.0 46.3%, Terminal-Bench 4.0 37.6%.

$2 / $6 per 1M tokens (input / output) below 200K prompt tokens
Alibaba

Qwen3.8-Omni-Flash

Alibaba's September 18, 2026 natively omni-modal model — text, image, audio and video in, 1M context, built for audio-video agents (video editing, music videos, long-meeting analysis) at $0.15 / $0.47 per 1M tokens, with a separate Realtime API for live voice and video.

$0.15 / $0.47 per 1M tokens (input / output); cached input $0.016
DeepSeek open

DeepSeek V4.1-Flash

DeepSeek's Sept 10, 2026 open-weight multimodal MoE under MIT — 552B parameters with only 8B / 16B active, 1M context, a KV cache a quarter the size, DeepSWE v1.1 74.2% and Terminal-Bench 2.1 90.6%, from $0.15 / $0.60 per 1M tokens.

$0.30 / $1.20 per 1M tokens at peak (input cache-miss / output); $0.15 / $0.60 off-peak
Google

Gemini 3.8 Flash

Google's Sept 2, 2026 workhorse — best Flash yet for long-horizon coding and agents, HLE-Verified 54.9%, 1M input / 64K output, multimodal, $0.75 / $3.75 introductory price (rising to $1.50 / $7.50 in 2027).

$0.75 / $3.75 per 1M tokens through Dec 31, 2026 (input / output); $1.50 / $7.50 from Jan 1, 2027
Z.ai open

GLM-5.3-Flash

Z.ai's August 26, 2026 natively multimodal open-weight model — 320B parameters with 18B active, a hybrid sparse-plus-linear attention design, 1M context and an MIT license, beating GLM-5.2 on DeepSWE v1.1 (63.4 vs 46.2) at one-tenth the price.

$0.15 / $0.50 per 1M tokens (input / output); FlashX $0.37 / $1.25
Alibaba open

Qwen3.8-Flash-Next

Alibaba's August 26, 2026 open-weight multimodal MoE and architecture preview for Qwen4 — 125B parameters plus a 51B N-gram embedding with only 6B active per token, SWE-bench Pro 62.5, trained at about 1/9 the cost of Qwen3.7-Plus, hosted as qwen3.8-flash at $0.15 / $0.47.

$0.15 / $0.47 per 1M tokens (input / output) for the hosted qwen3.8-flash; ¥0.8 / ¥2.7 in mainland China
NVIDIA open

Nemotron 3.5 Lightning

NVIDIA's highest-efficiency open model for long-running agentic AI workloads — built by the Nemotron Coalition, available with NeMo Switchyard for intelligent multi-model routing.

Free (open weights) / hosted via partners
Thinking Machines Lab open

Inkling

Mira Murati's first model — a 975B/41B-active open-weight MoE with Apache 2.0 license, native text/image/audio, 1M context, designed as a base for fine-tuning.

$1.87 / $4.68 per 1M tokens (64K ctx) · $3.74 / $9.36 (256K ctx)
MiniMax open

MiniMax M3

The first open-weight model to combine frontier coding, a 1M-token context and native multimodality — a 428B MoE (22B active) built on sparse attention.

~$0.60 / $2.40 per 1M tokens (input / output)
DeepReinforce open

Ornith-1.0

Ornith-1.0 is DeepReinforce's open-source, self-improving LLM family for agentic coding — from a 9B edge model to a 397B MoE that rivals Claude Opus 4.7 on SWE-Bench.

Open weight (free to self-host)
Alibaba

Qwen3.7-Max

Alibaba's proprietary "Agent Frontier" flagship — top knowledge scores and long-horizon autonomy across a 1M-token context.

Pay-as-you-go via Alibaba Cloud Model Studio
xAI

Grok 4.3

xAI's budget-frontier model — strong agentic tool calling and a self-reported low hallucination rate inside a 1M-token window at $1.25 / $2.50 per 1M.

$1.25 / $2.50 per 1M tokens (input / output)