AI comparison · November 2026

AI model leaderboard — November 2026

58 models from 32 providers. Ratings come from blind votes, prices from each provider's own page, and speed and uptime from real traffic. Measured first-token time, tokens per second and success come from OpenVibe.Report.

OpenVibe.Bench is unavailable. Showing the last good copy, read 2026-11-13 06:35 UTC.

models listed
58
providers
32
measured endpoints
6

Top picks

Not enough data yet for Best overall, Best value, Best open weights, Best for code, Best for writing, Best uncensored 18+.

Harness and model, apart

A coding agent is a harness driving a model, and the harness can move a score as much as the model. Bench fits the two apart, with an interval on each harness effect. Every agent number here names its harness.

Leaderboard55

No model has blind votes or runs yet, so nothing is ranked: these are the models with their prices and measured speed. Vote in the Arena to rate them.

ModelPriceFirst token p50Tokens/s p50SuccessReply time
gpt-5-nanoOpenAI Routed here$0.40 out · $0.05 inper 1M tokens, via OpenAI———1.6 stypical reply · p95 11 s
muse-ember-1.0Meta Routed here$0.50 out · $0.10 inper 1M tokens, via Meta Model API———No traffic yet
gpt-4o-miniOpenAI Routed here$0.60 out · $0.15 inper 1M tokens, via OpenAI———No traffic yet
deepseek-flashDeepSeek Routed here$1.20 out · $0.30 inper 1M tokens, via DeepSeek———13 stypical reply · p95 26 s
gpt-4.1-miniOpenAI Routed here$1.60 out · $0.40 inper 1M tokens, via OpenAI———No traffic yet
gpt-5-miniOpenAI Routed here$2.00 out · $0.25 inper 1M tokens, via OpenAI———2.7 stypical reply · p95 11 s
deepseek-v4-proDeepSeek Routed here$3.96 out · $1.32 inper 1M tokens, via DeepSeek———No traffic yet
muse-spark-1.3Meta Routed here$4.25 out · $1.25 inper 1M tokens, via Meta Model API———No traffic yet
gpt-5OpenAI Routed here$10.00 out · $1.25 inper 1M tokens, via OpenAI———No traffic yet
autoopenrouter Not routed hereFree out · Free inper 1M tokens, via IteraCompute———No traffic yet
glm-4.7-flashZhipu AI Not routed hereOpen weightsFree out · Free inper 1M tokens, cheapest of 2 providers———No traffic yet
meta-llama-3.1-8b-instructMeta Not routed hereOpen weights$0.08 out · $0.05 inper 1M tokens, via Featherless AI———No traffic yet
meta-llama-3.1-8b-instruct-abliteratedMeta Not routed here18+$0.08 out · $0.05 inper 1M tokens, via Featherless AI———No traffic yet
qwen3-0.6bQwen Not routed here$0.08 out · $0.04 inper 1M tokens, via Featherless AI———No traffic yet
mistral-nemo-instruct-2407-teeMistral AI Not routed here$0.098 out · $0.025 inper 1M tokens, via Chutes———No traffic yet
qwen3.7-flash-2026-07-15Qwen Not routed here$0.13 out · $0.03 inper 1M tokens, via Qwen (Alibaba Model Studio)———No traffic yet
gpt-oss-120bOpenAI Not routed hereOpen weights$0.17 out · $0.037 inper 1M tokens, cheapest of 7 providers———No traffic yet
deepseek-v4-flashDeepSeek Not routed hereOpen weights$0.18 out · $0.09 inper 1M tokens, cheapest of 2 providers———No traffic yet
qwen3-14bQwen Not routed hereOpen weights$0.24 out · $0.12 inper 1M tokens, cheapest of 2 providers———No traffic yet
mimo-v2.6-flashxiaomi Not routed hereOpen weights$0.28 out · $0.14 inper 1M tokens, cheapest of 2 providers———No traffic yet
gemma-4-26bGoogle Not routed here$0.30 out · $0.10 inper 1M tokens, via Altare Inference———No traffic yet
gpt-oss-20bOpenAI Not routed hereOpen weights$0.30 out · $0.20 inper 1M tokens, via Altare Inference———No traffic yet
qwen3-30b-a3b-instruct-2507Qwen Not routed hereOpen weights$0.30 out · $0.10 inper 1M tokens, via Nebius Token Factory———No traffic yet
glm-4.7-flashxZhipu AI Not routed hereOpen weights$0.40 out · $0.07 inper 1M tokens, via GLM (Z.ai)———No traffic yet
qwen3-32b-teeQwen Not routed here$0.42 out · $0.10 inper 1M tokens, via Chutes———No traffic yet

Chat models only. 3 embedding and speech models are in the full list.

Data: JSON · How it is measured

Measured columns: OpenVibe.Report's public model rows over 30 days, matched exactly to the model or its provider model name. A model needs 20 calls to be listed; a dash is not a zero. Report's open data.

Boards by task

Providers

ProviderModelStatusPrice per 1MReply timeErrorsUptime 7 dRequests 7 d
OpenAIgpt-5-nanoUp$0.40 out · $0.05 in1.6 sp95 11 s43.8%56.2%29,486
OpenAIgpt-5-miniDegradedtoo many errors in the last hoursince 2026-11-13 05:59 UTC$2.00 out · $0.25 in2.7 sp95 11 s38.9%61.1%2,459
OpenVibe serverbge-small-en-v1.5UpNo price listed16 msp95 105 ms14.5%85.5%110
DeepSeekdeepseek-flashUp$1.20 out · $0.30 in13 sp95 26 s58.9%41.1%107
OpenVibe serverwhisper.cppDownthe key was refusedsince 2026-11-13 06:35 UTCNo price listedNot measured yet100.0%0.0%49
OpenAItext-embedding-3-smallUp$0.40 out · $0.05 inNot measured yetNot measured yetNot measured yet13

Questions

How are ratings made?

0 models have a rating from blind pairwise votes and open runs on OpenVibe.Bench (Bradley-Terry with bootstrap intervals), dated 2026-11-13T06:48:09.521Z.

Where do prices come from?

Each provider's own price page, read by OpenVibe.AI's pricebook; 83 provider and model offers are listed.

What does the rank band mean?

Models whose rating intervals overlap share a band: the data cannot tell them apart yet.

Why does a model say "Not rated yet"?

No blind votes or runs on it so far. Its prices and measured speed are still listed.

How is speed measured?

On real requests through OpenVibe.Exchange over seven days: 6 provider endpoints had traffic.

How often does this change?

Ratings and prices refresh within two minutes of the sources changing.