VerdictPal · editorial desk · updated 16 Oct 2026VerdictPal
Models

Model-first evidence atlas.

We score models, not vendors. Below: every model page the public benchmark ledger still has evidence for. The mix is a weighted roll-up of the benchmarks we publish — dated and sourced, not a universal verdict.
234
Models with pages
22
Providers
186
Priced in USD/1M
3
In score ledger only

Blended cost per million tokens (input + 3× output) on the X axis, log scale. The Y axis is the benchmark mix from the suites we still publish. Dots are sized by context window and connected by the Pareto frontier.

Pareto frontier · curated models158 scored · log scale
$0.10$1$10$1000255075100Blended $/1M (log)IntelligenceGemini 3.7 Flash
All 158 models in this chart
ModelIntelligenceBlended $/1MFrontier
Claude Mythos Preview95$243.75Yes
Claude Fable 5.177$40.00Yes
GPT-6 Astra75$40.00—
Qwen 3.7 Max74$1.00Yes
Gemini 3.7 Flash74$3.00—
Claude Opus 5 (Adaptive Reasoning, Xhigh Effort)74$20.00—
Gemini 3.8 Flash73$3.00—
Muse Spark 1.373$3.50—
Claude Opus 5 (Adaptive Reasoning, High Effort)73$20.00—
Qwen3.8 Max72$5.00—
Claude Opus 5 (Adaptive Reasoning, Medium Effort)72$20.00—
Gemini 3.1 Pro Preview71$9.50—
GPT-5.5 (high)71$23.75—
Gemini 3.6 Flash (high)70$3.00—
Muse Spark 1.170$3.50—
Muse Spark 1.270$3.50—
Qwen3.8 2.4T A95B70$5.00—
Claude Opus 5.570$16.00—
GPT-5.5 (medium)70$23.75—
GLM-5.3-Flash69$0.41Yes
Claude Sonnet 569$8.00—
Qwen3.8-Flash-Next68$0.39Yes
Grok 4.568$5.00—
DeepSeek V4 Flash 0731 (Reasoning, Max Effort)67$1.10—
Qwen3.7 Max67$6.25—
GPT-5.3 Codex (xhigh)67$10.94—
Claude Opus 5 (Adaptive Reasoning, Low Effort)67$20.00—
GPT-5.5 (low)67$23.75—
DeepSeek V4 Pro Max66$1.30—
Qwen3.8 27B66$2.38—
DeepSeek V4 Pro 0813 (Reasoning, Max Effort)66$3.30—
MiniMax M365$0.97—
DeepSeek V4 Flash Vision (Reasoning, Max Effort)65$1.10—
MiMo-V2.6-Pro64$0.76—
Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort)64$12.00—
GPT-5.6 Sol64$16.00—
Claude Opus 4.764$20.00—
Claude Opus 5 (Adaptive Reasoning, Max Effort)64$20.00—
MiMo-V2.5-Pro63$0.76—
Grok Build 0.1 061663$1.75—
Qwen3.6 Plus63$2.38—
Kimi K2.7 Code63$3.24—
GLM-5.263$3.65—
Kimi K3 (low)63$12.00—
Claude Opus 4.6 (Adaptive Reasoning, Max Effort)63$20.00—
Claude Opus 4.7 (Non-reasoning, High Effort)63$20.00—
GPT 5.463$22.75—
Hy362$0.00—
K2 Horizon 375B A23B62$0.00Yes
Motif 362$0.00—
Nex-N2-Pro62$2.00—
Apodex 1.162$2.33—
Gemini 3.5 Flash (medium)62$7.13—
Claude Fable 562$40.00—
Gemini 3 Flash Preview (Reasoning)61$2.38—
GPT-6 Sol61$8.00—
GPT-5.2 Codex (xhigh)61$10.94—
Grok 4.361$20.00—
Inkling Small60$0.97—
KAT Coder Pro V260$0.97—
MiniMax M2.760$1.21—
Kimi K2.660$2.02—
Kimi K2.560$2.40—
GPT-5.4 Mini60$3.56—
Qwen3.6 Max Preview60$6.17—
GPT-5.260$10.94—
Gemini 3.1 Pro60$17.50—
Claude Opus 4.5 (Reasoning)60$20.00—
GPT-5.6 Luna59$0.95—
Inkling (xhigh)59$3.98—
GPT-5.4 (low)59$11.88—
MiMo-V2.558$0.25—
Solar Pro 458$0.97—
GPT-5.4 Nano58$0.99—
Qwen3.5 397B A17B (Reasoning)58$2.85—
GPT-5.6 Terra58$9.50—
Kimi K358$12.00—
JT-4.1 Flash 236B A21B57$0.00—
MiMo-V2-Pro57$0.00—
GPT-6 Luna57$0.40—
GLM-4.7 (Reasoning)57$1.80—
GLM-5 (Reasoning)57$2.65—
Qwen3.6 27B (Reasoning)57$2.85—
Grok 4.20 0309 (Reasoning)57$5.00—
Grok 4.757$5.00—
DeepSeek V4.1 Flash56$0.49—
Gemini 3.5 Flash56$0.97—
Muse Glimmer56$1.09—
Grok 4.3 (medium)56$2.19—
LongCat-2.056$2.40—
GPT-5 (high)56$7.81—
Gemini 3 Pro Preview (low)56$9.50—
GPT-5.2 (medium)56$10.94—
Solar Open2 250B55$0.00—
GPT-5 (medium)55$7.81—
GPT-5 Codex (high)55$7.81—
Grok 455$12.00—
GPT 5.555$40.63—
GLM-5-Turbo54$0.00—
MiMo-V2-Omni-032754$0.00—
Qwen3.5 27B (Reasoning)54$1.87—
Gemini 3.5 Flash-Lite54$1.95—
GLM-5.354$3.65—
Grok 4.654$5.00—
GPT-5.1 Codex (high)54$7.81—
Claude 4.5 Sonnet (Reasoning)54$12.00—
A.X-K253$0.00—
MiMo-V2-Omni53$0.00—
Hy3-preview (Reasoning)53$0.19—
MiniMax M2.553$0.97—
Ring-2.6-1T53$1.95—
Qwen3.6 27B (Non-reasoning)53$2.85—
Gemini 3.5 Flash (minimal)53$7.13—
GPT-5.5 (Non-reasoning)53$23.75—
GPT-5.5 Instant (May 2026)53$23.75—
MiMo-V2-Flash (Feb 2026)52$0.00—
MiMo-V2.6-Flash52$0.25—
Kimi K2 Thinking52$2.02—
Claude Opus 4.652$20.00—
GPT-5.5 Instant (June 2026)52$23.75—
Qwen3.6 35B A3B (Reasoning)51$1.18—
Kimi K2.6 (Non-reasoning)51$3.24—
Claude Opus 4.551$20.00—
GLM 5V Turbo (Reasoning)50$0.00—
Qwen3.6 35B A3B (Non-reasoning)50$1.78—
Grok 4.3 (low)50$2.19—
Claude Sonnet 4.6 (Non-reasoning, Low Effort)50$12.00—
Claude 4.1 Opus (Reasoning)50$60.00—
K-EXAONE 2.0 080349$0.00—
Gemini 3.1 Flash Lite49$1.19—
Mistral Medium 3.549$6.00—
Claude Opus 4.848$60.00—
Claude Sonnet 4.647$12.00—
Gemini 3 Flash Preview46$2.38—
JT-35B-Flash45$0.00—
GLM-5.2 (Non-reasoning)43$3.53—
EXAONE 4.5 33B42$0.00—
MiMo-V2.5-Pro (Non-reasoning)42$0.76—
GPT-5.5 Pro41$142.50—
Nemotron 3.5 Lightning40$0.16—
Hy3-preview (Non-reasoning)39$0.19—
Ling-2.6-1T39$1.95—
GPT-5.4 Pro39$142.50—
Granite 4.2 30B38$0.53—
Grok 4.20 0309 v2 (Non-reasoning)38$5.00—
Grok 4.3 (Non-reasoning)36$2.19—
Granite 4.2 8B33$0.20—
Mistral Large 332$1.25—
Ling 2.6 Flash31$0.25—
DiffusionGemma 26B A4B29$0.00—
JT-MINI28$0.00—
Granite 4.2 3B26$0.10—
G9v3-3B24$0.00—
Nemotron 3 Nano Omni 30B A3B Reasoning24$0.24—
Granite 4.1 30B20$0.00—
Command A20$8.13—
MiniCPM-V 4.6 1.3B11$0.00—
MiniCPM5-1B (Non-reasoning)10$0.00—

The earlier cut, using input cost alone. Useful when your workload is input-heavy (RAG, document Q&A) rather than output-heavy.

0255075100$0.10$0.30$1$3$10$30input USD / 1M tokens · log scale →← intelligence

Hover any dot for name, score, and input price. Keyboard: tab through the top twelve, or use the ranking below.

AnthropicOpenAIGoogleAlibabaMetaZhipuxAIDeepSeekMiniMaxXiaomiMoonshotOtherMeituanMistralNVIDIACohere

Older releases, special configurations (Codex CLI, ForgeCode), and ad-hoc aggregations. We surface their sourced scores but we don't promote them to the model atlas until they earn a full model page.

The highest intelligence receipt in each family slice. Use this as a sanity check that a single number isn't hiding a weak spot.

Claude Mythos Preview95

Anthropic · Claude Opus

Not enough families covered yet.Add more benchmark rows for Claude Mythos Preview to see the family profile.
Claude Fable 5.177

Anthropic · Claude Fable

Family profile

Best published score in each covered benchmark family.

80/100 avg
Knowledge
67
Reasoning
94
Coding
63
Agentic
91
Long context
85

5 tested benchmark families

GPT-6 Astra75

OpenAI · GPT-6

Family profile

Best published score in each covered benchmark family.

81/100 avg
Reasoning
96
Coding
57
Agentic
88
Long context
81

4 tested benchmark families

A model with no row in a family is a model that hasn't been publicly tested there. We surface that instead of pretending it's weak.

Open the benchmark atlas
Knowledge13models covered
Reasoning194models covered
Math15models covered
Coding98models covered
Agentic168models covered
Multimodal8models covered
Long context184models covered
Tool use0models covered
Performance0models covered
Safety0models covered
Human preference0models covered

Questions this atlas answers

Every answer below is assembled from the dated fields on this page. Nothing is written separately for search.

What is the VerdictPal model atlas?

We score models, not vendors. Below: every model page the public benchmark ledger still has evidence for. The mix is a weighted roll-up of the benchmarks we publish — dated and sourced, not a universal verdict.

How many models have pages?

234 models currently have a page in the atlas. Draft stubs are omitted.

Where do the intelligence rows come from?

From the benchmarks we still publish. Every row on this page carries a date and a URL. VerdictPal does not invent model scores.

Are model prices dated?

186 of 234 models publish a per-token USD price. Each model page records the date that price was checked.

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