Frontier Intelligence Board · Compiled for Gio · ruizTechServices

SOTA Model Landscape
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Every top contender across the frontier labs. Click a provider to expand its models. Pricing & context windows refresh live from OpenRouter; benchmark scores and editorial are curated snapshot data.

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Anthropic OpenAI Google xAI DeepSeek Mistral Alibaba / Qwen Other contenders

Anthropic

Owns the coding + agentic ecosystem

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Claude Fable 5

Mythos-class · The capability ceiling

Capable ofHighest-end reasoning, frontier coding, agentic work. WebDev Arena 1653 Elo — 92 pts clear of #2, widest gap ever recorded. 80.3% SWE-bench Pro (vendor).

Useful forProblems everything else fails on; hardest architecture, deep multi-step builds.

Best caseWhen you need the absolute ceiling and price is secondary.

$10 / $50 per Mctx —Suspended Jun 12–30 — restored Jul 1

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Claude Opus 4.8

The pragmatic frontier default

Capable of#1 agentic coding (69.2% SWE-bench Pro, 88.6% Verified), #1 knowledge work (GDPval-AA 1,890 Elo), leads Humanity's Last Exam, #1 Intelligence Index (61).

Useful forLong-horizon agents, production coding, serious knowledge work. Fast mode at 2.5× output.

Best caseDaily-driver for hard eng work — half Fable's price, ~95% of the power.

$5 / $25 per Mctx —Powers Claude Code / Cursor / Windsurf stack

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Claude Sonnet 5

Best value at the quality frontier

Capable of63.2% SWE-bench Pro, beats Opus 4.8 on Terminal-Bench 2.1, ties it on GDPval knowledge work.

Useful forProduction agents, content pipelines, professional writing at 60% less cost.

Best caseDefault workhorse for a solo SaaS stack — frontier quality, mid-tier price.

$2 / $10 introctx —New tokenizer: ~30% more tokens per text

OpenAI

Consumer polish + hardest STEM reasoning

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GPT-5.6 (Sol · Terra · Luna)

New flagship family · GA Jul 9

Capable ofSol is purpose-tuned for the hardest abstract math & science. Terminal-Bench 2.1: 88.8% (91.9% ultra mode). Now the ChatGPT default.

Useful forStep-by-step working on brutal STEM problems; everyday chat leader.

Best caseFrontier reasoning inside the most polished consumer product.

$ —ctx —METR flagged elevated "scheming" in Sol

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GPT-5.5 / 5.5 Pro

Proven factual workhorse

Capable ofTerminal-Bench 2.0 leader (82.7%), 52.5% fewer hallucinations than 5.4. Pro leads FrontierMath T4 at 39.6% — nearly 2× Opus 4.8.

Useful forReports, factual reliability, research math via ChatGPT Pro ($100/mo).

Best caseFallback when you need trustworthy, low-hallucination output.

$ —ctx —Long-context (>272K in) bills higher

Google

Context kings + price-performance

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Gemini 3.5 Pro

The 2M-token context monster

Capable of2M-token context — largest of any production frontier model — with frontier-class quality on extreme reasoning.

Useful forWhole-codebase ingestion, massive document sets, long-context research.

Best caseWhen the entire problem must fit in one window.

$ —ctx —GA slipped Jun → Jul; still rolling out

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Gemini 3.5 Flash

Cheapest closed frontier all-rounder

Capable of1M context, ~4× faster inference, beats 3.1 Pro on coding/agentic benches. 1,656 GDPval-AA Elo.

Useful forHigh-volume professional writing, email at scale, fast agent loops.

Best caseBulk work where speed × cost matters more than ceiling.

$1.50 / $9 per Mctx —

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Gemini 3.1 Pro

Research & accuracy value pick

Capable of94.3% GPQA Diamond, 77.1% ARC-AGI-2 — genuine novel reasoning, not benchmark memorization.

Useful forAcademic/scientific research, accuracy-critical analysis, multilingual work.

Best caseMost cost-efficient frontier reasoning available right now.

$2 / $12 per Mctx —

xAI

Speed, value & live social data

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Grok 4.5

"Opus-class, but faster" · Released Jul 8

Capable ofCursor-trained coding/agentic model, 500K context, ~$0.31 per intelligence-index task — 5× cheaper than Sonnet 5. 10–15× typical API speeds.

Useful forFast interactive agent loops, coding, anything needing live X/social data.

Best caseNear-Opus capability at a fraction of the cost with unmatched speed.

$2 / $6 per Mctx —First flagship of the SpaceX era (SPCX)

DeepSeek

Open-weight economics

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DeepSeek V4-Pro

Open-weight frontier challenger

Capable ofFrontier-adjacent reasoning and coding at open-weight economics; the gap to closed labs keeps shrinking.

Useful forSelf-hosted frontier work, cost-sensitive production systems.

Best caseStrongest open challenger when you control the infra.

$ —ctx —Open weights

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DeepSeek V4-Flash

Cheapest 1M-context model, period

Capable of1M-token context at $0.14 / $0.28 per M — cheapest open-weight long-context option on the market.

Useful forMassive-volume pipelines, RAG pre-processing, classification, summarization at scale.

Best caseWhen token volume is enormous and margin matters.

$0.14 / $0.28 per Mctx —Open weights

Mistral

European sovereignty + true open weights

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Mistral Large 3

Flagship open-weight MoE

Capable of675B total / 41B active MoE, Apache 2.0, 262K context, multimodal + multilingual. ~73% MMLU-Pro, 93.6% MATH-500.

Useful forSelf-hosting, EU data residency, regulated verticals (finance, health, gov).

Best caseFull control: download, modify, deploy — data never leaves your infra.

~$2 / $6 per Mctx —"Fat but sparse" successor in July early access

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Mistral Medium 3.5

Agentic + coding mid-frontier

Capable ofFrontier-class multimodal, optimized for agentic/coding, adjustable reasoning_effort. Open weights (Modified MIT).

Useful forEveryday enterprise workflows; powers Vibe coding agents & Le Chat Work mode.

Best caseBalanced self-hostable coder with tunable reasoning depth.

$ —ctx —Open weights

Alibaba / Qwen

Extreme cost-effectiveness

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Qwen 3.7 Max

Frontier work at half price · API-only

Capable of60.6% SWE-bench Pro, 97.1 on HMMT competition math (highest in class), longest documented autonomous agent run (35 hrs).

Useful forCost-effective frontier coding & competition-style math.

Best caseFrontier-adjacent output at a fraction of ChatGPT Pro cost.

$2.50 / $7.50 per Mctx —Closed-weight, Alibaba Cloud only

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Qwen 3.6 (27B)

Self-hosting default

Capable ofDense 27B that beats the far larger 3.5 flagship on agentic coding — on a single consumer GPU.

Useful forLocal/self-hosted agents, home-lab deployments, privacy-first client work.

Best caseBest open-weight coder you can run on one GPU.

$ —ctx —Open weights · runs local

Other Contenders

Worth watching

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Kimi K2.7 (Moonshot)

Multilingual specialist

EdgeNative audio + text across 6 languages; among the most reliable for non-English content. Coding contender vs GLM-5.2 and GPT-5.6.

$ —ctx —

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Muse Spark 1.1 (Meta)

Budget frontier entry

EdgeUndercuts the field at $1.25 / $4.25 per M — Meta's play for the price-sensitive frontier tier.

$1.25 / $4.25 per Mctx —

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MiniMax M3

Cheapest open-weight frontier coder

Edge~$0.60 per M input — the budget floor for open-weight coding at frontier-adjacent quality.

~$0.60 in per Mctx —

Route the task, not the loyalty

The defining feature of 2026: specialization. The winning strategy is routing each task to the model that owns that lane.

Coding — absolute ceiling

Claude Fable 5 → Opus 4.8 as daily driver

Agentic / long-horizon work

Claude Opus 4.8 → Grok 4.5 for speed + value

Hardest math & science

GPT-5.6 Sol → GPT-5.5 Pro, Qwen 3.7 Max

Research & accuracy

Gemini 3.1 Pro → 94.3% GPQA at $2/$12

Massive context

Gemini 3.5 Pro → 2M tokens, one window

Value at quality frontier

Claude Sonnet 5 → Gemini 3.5 Flash for volume

Self-host / sovereignty

Mistral Large 3 → Qwen 3.6, DeepSeek V4

Bulk tokens on a budget

DeepSeek V4-Flash → $0.14/$0.28 · 1M ctx