AI Rate Card

Model classes S/A/B/C/D

How strong a base model is in one direction, as a letter: S is the top, D the bottom. Each letter stands on at least two independent public sources; one source gives a score without a letter. How we count

🧠 Reasoning

Prices of these models in the catalog: class S and above · class A and above · class B and above

ClassModelScoreBy sourceSince
SClaude Fable 5.199.9Arena 99.8, Epoch 1002026-11-06
SClaude Sonnet 5.598.6Arena 97.8, Epoch 99.42026-11-06
SClaude Opus 597.8Arena 99, Epoch 96.52026-11-06
SClaude Opus 5.596.7Arena 99.3, Epoch 942026-11-06
SGPT-5.6 Sol95.8Arena 93.4, Epoch 98.22026-11-06
AGemini 3.8 Flash93.8Arena 98.2, Epoch 89.42026-11-06
AGPT-6 Astra93.7Arena 87.5, Epoch 1002026-11-06
AClaude Fable 592.5Arena 100, Epoch 852026-11-06
AKimi K391.4Arena 94.8, Epoch 882026-11-06
AQwen3.8 Max90.4Arena 90.8, Epoch 89.92026-11-06
AClaude Opus 4.890.2Arena 91.3, Epoch 892026-11-06
AGPT-5.488.7Arena 87.3, Epoch 90.12026-11-06
AClaude Opus 4.6 (under review: the sources disagree by two classes or more)87Arena 100, Epoch 742026-11-06
ADeepSeek V4.1 Flash85.8Arena 90.2, Epoch 81.32026-11-06
AGLM-5.385.5Arena 91.8, Epoch 79.22026-11-06
AGPT-5.584.9Arena 87.3, Epoch 82.42026-11-06
AGemini 3.1 Pro Preview84.1Arena 85, Epoch 83.22026-11-06
AGPT-5.6 Luna83.5Arena 76.2, Epoch 90.92026-11-06
AClaude Opus 4.7 (under review: the sources disagree by two classes or more)83.4Arena 96.8, Epoch 702026-11-06
AGLM-5.3-Flash82.3Arena 90.8, Epoch 73.82026-11-06
BKimi K2.678.4Arena 80, Epoch 76.72026-11-06
BGLM-5.278.2Arena 82.9, Epoch 73.42026-11-06
BGPT-6 Luna77Arena 66, Epoch 882026-11-06
BGrok 4.676.2Arena 65.9, Epoch 86.52026-11-06
BDeepSeek V4 Pro 081375.9Arena 68.8, Epoch 83.12026-11-06
BClaude Haiku 5.574.4Arena 63.9, Epoch 84.92026-11-06
BKimi K2.574.4Arena 72.1, Epoch 76.82026-11-06
BGLM-5.170.7Arena 77.2, Epoch 64.22026-11-06
BClaude Sonnet 5 (under review: the sources disagree by two classes or more)67.6Arena 81, Epoch 54.32026-11-06
BDeepSeek V4 Pro66Arena 62.2, Epoch 69.82026-11-06
BClaude Opus 4.5 (latest)65.3Arena 78, Epoch 52.62026-11-06
BGLM-564.2Arena 62.4, Epoch 66.12026-11-06
CMiniMax-M359.9Arena 54.5, Epoch 65.22026-11-06
CDeepSeek V3.256.4Arena 50, Epoch 62.82026-11-06
CClaude Sonnet 4.6 (under review: the sources disagree by two classes or more)56Arena 75.5, Epoch 36.52026-11-06
CClaude Sonnet 4.5 (latest) (under review: the sources disagree by two classes or more)53.8Arena 70.8, Epoch 36.82026-11-06
CGemma 4 31B IT (under review: the sources disagree by two classes or more)53.5Arena 75.7, Epoch 31.42026-11-06
CGLM-4.753.5Arena 48.6, Epoch 58.52026-11-06
DClaude Haiku 4.5 (latest)30.2Arena 41.1, Epoch 19.42026-11-06
DGPT OSS 120B26.8Arena 7.9, Epoch 45.82026-11-06
DGPT OSS 20B2.4Arena 0, Epoch 4.82026-11-06
DLlama-3.3-70B-Instruct0Arena 0, Epoch 02026-11-06

One source so far - score only

DeepSeek V4.1 Flash 1017 89.1, DeepSeek V4 Flash 0731 76.3, Kimi K2.7 Code 70.4, Qwen3.8 27B 63.6, DeepSeek V4 Flash 49.5, MiniMax-M2.7 47.6, MiniMax-M2.5 30.6

How we count

Every test result is put on a 0-100 scale against the strongest recent models. A source's score is the mean of its tests; the direction's score is the mean of its sources, so one source with many tests does not outweigh another. The strongest published variant of a model is used (e.g. the highest effort). Bands are fixed for half a year (edition 2026H2); the numbers are recomputed when a source publishes new results.

Class bands

Sources

Next directions: code, agents, vision - one at a time, when each has two independent sources.

The same data: /v1/classes (API) and the MCP tool models_by_class.

A class says how a model scores on public tests, not whether it fits your job: try it on your own tasks.