TokenPylon

2264 model families, 187 providers, 4460 price changes in 30 days

Prices are re-read from every provider daily and appended to a ledger, never overwritten. 2364 of the recent changes were drops. Watch a family to get an email the morning after it moves.

Price changes, last 30 days

WhenModelProviderSide$/M before → afterChange
Nov 14glm-5v-turbozaivia models-devinput1.20 → 0.747-37.8%Watch
Nov 14glm-5v-turbozaivia models-devoutput4.00 → 3.29-17.8%Watch
Nov 14glm-5.3-flashxzaivia models-devinput0.370 → 0.299-19.2%Watch
Nov 14glm-5.3-flashxzaivia models-devoutput1.25 → 1.05-16.3%Watch
Nov 14glm-5.3-flashzaivia models-devinput0.150 → 0.120-20.3%Watch
Nov 14glm-5.3-flashzaivia models-devoutput0.500 → 0.418-16.3%Watch
Nov 14glm-5.3zaivia models-devinput1.40 → 1.20-14.6%Watch
Nov 14glm-5.3zaivia models-devoutput4.40 → 4.18-4.9%Watch
Nov 14glm-5.2zaivia models-devinput1.40 → 1.20-14.6%Watch
Nov 14glm-5.2zaivia models-devoutput4.40 → 4.18-4.9%Watch
Nov 14glm-4.5-airzaivia models-devinput0.200 → 0.120-40.2%Watch
Nov 14glm-4.5-airzaivia models-devoutput1.10 → 0.896-18.5%Watch
Nov 14glm-4.5vzaivia models-devinput0.600 → 0.299-50.2%Watch
Nov 14glm-4.5vzaivia models-devoutput1.80 → 0.896-50.2%Watch
Nov 14glm-4.6vzaivia models-devinput0.300 → 0.149-50.2%Watch
Nov 14glm-4.6vzaivia models-devoutput0.900 → 0.448-50.2%Watch
Nov 14glm-4.7zaivia models-devinput0.600 → 0.448-25.3%Watch
Nov 14glm-4.7zaivia models-devoutput2.20 → 2.09-4.9%Watch
Nov 14glm-4.7-flashxzaivia models-devinput0.070 → 0.075+6.7%Watch
Nov 14glm-4.7-flashxzaivia models-devoutput0.400 → 0.448+12.0%Watch
Nov 14glm-5zaivia models-devinput1.00 → 0.598-40.2%Watch
Nov 14glm-5zaivia models-devoutput3.20 → 2.69-16.0%Watch
Nov 14glm-5.1zaivia models-devinput1.40 → 0.896-36.0%Watch
Nov 14glm-5.1zaivia models-devoutput4.40 → 3.59-18.5%Watch
Nov 14mistral-large-latestmistralvia models-devinput0.500 → 0.700+40.0%Watch
Nov 14mistral-large-latestmistralvia models-devoutput1.50 → 2.10+40.0%Watch
Nov 14moonshotai/kimi-k3.1-prowafervia openrouteroutput10.00 → 8.80-12.0%Watch
Nov 14deepseek/deepseek-v4-flash-0731wafervia openrouterinput0.043 → 0.100+130.4%Watch
Nov 14deepseek/deepseek-v4-flash-0731wafervia openrouteroutput0.300 → 0.230-23.3%Watch
Nov 14z-ai/glm-5.2streamlakevia openrouterinput0.613 → 0.280-54.3%Watch
Nov 14z-ai/glm-5.2streamlakevia openrouteroutput1.93 → 0.880-54.3%Watch
Nov 14deepseek/deepseek-v4-prostreamlakevia openrouterinput0.955 → 0.444-53.5%Watch
Nov 14deepseek/deepseek-v4-prostreamlakevia openrouteroutput1.91 → 0.888-53.5%Watch
Nov 14deepseek/deepseek-v4-flashstreamlakevia openrouterinput0.083 → 0.037-54.7%Watch
Nov 14deepseek/deepseek-v4-flashstreamlakevia openrouteroutput0.165 → 0.075-54.7%Watch
Nov 14z-ai/glm-5.2siliconflowvia openrouterinput0.700 → 0.651-7.0%Watch
Nov 14z-ai/glm-5.2siliconflowvia openrouteroutput2.20 → 2.05-7.0%Watch
Nov 14deepseek/deepseek-v4-flashrelacevia openrouterinput0.050 → 0.036-28.6%Watch
Nov 14qwen/qwen3.8-27bprimeintellectvia openrouterinput0.137 → 0.080-41.6%Watch
Nov 14qwen/qwen3.8-27bprimeintellectvia openrouteroutput0.974 → 0.571-41.4%Watch

Showing the 40 most recent of 4460.

Price index, last 90 days

Median list price of every paid chat listing the catalog saw that day, one price per seller, in USD per million tokens. Only sources that polled that day count, so a missing day is a gap rather than a guess. The index is not held to a fixed basket: when a new source adds listings the median moves with them, and the listing count below says when that happened.

Median input$0.60
$0.45$0.56$0.662026-08-162026-11-13
Median output$2.04
$1.35$1.80$2.242026-08-162026-11-13
Listings priced5165
0284556892026-08-162026-11-13

2026-11-13: 5,165 listings from 7 of 7 sources; cheapest paid input $0.007, output $0.010. Over 90 indexed days, 951 listing-cuts and 861 listing-raises; 44 days had a source missing. Series by provider, family and /decide task via /api/v1/trends.

Price catalog

One row per model family, ranked by how many providers compete on it. Cheapest is by input + output list price; free and preview tiers are excluded. Full list at /api/v1/families.

FamilyProvidersCheapest input $/MCheapest output $/MVia
deepseek-v4-1620.0730.108sail_researchWatch
glm-5-3560.0701.40waferWatch
deepseek-v4540.0370.075streamlakeWatch
glm-5-3-flash530.0400.078openrouterWatch
glm-5-2450.1890.594baiduWatch
gpt-oss410.0200.030primeintellectWatch
kimi-k3370.2769.60waferWatch
qwen-3350.0100.000nebiusWatch
qwen-3-8-27b350.0800.571primeintellectWatch
llama-3-3-70b-instruct320.2000.200nscaleWatch
kimi-k2-7-code310.6003.00coreweaveWatch
kimi-k2-6300.3901.64baiduWatch
deepseek-v3-2280.1340.202atlascloudWatch
qwen-3-235b280.0870.350gmiWatch
gemma-4-31b270.0800.300rekaWatch
kimi-k3-1-pro271.226.10decartWatch
deepseek-r1250.0250.025nscaleWatch
gemma-4-26b250.0380.114primeintellectWatch
glm-5-1250.8992.82baiduWatch
llama-3-1-8b-instruct230.0250.025inference_netWatch
qwen-3-6-35b220.0110.101primeintellectWatch
minimax-m3210.2240.880deepinfraWatch
minimax-m3-1-flash200.0500.200tenstorrentWatch
qwen-3-5-397b200.1681.01baiduWatch
kimi-k2-5190.4502.25deepinfraWatch
qwen-3-32b190.0500.100lambda_aiWatch
deepseek-v3180.2000.200hyperbolicWatch
glm-4-7170.3201.40deepinfraWatch
mistral-small170.0500.080deepinfraWatch
claude-opus-4-7162.5012.50vercel_ai_gatewayWatch
claude-sonnet-4-6161.507.50vercel_ai_gatewayWatch
deepseek-v3-1160.2500.950deepinfraWatch
qwen-3-coder160.1200.800openrouterWatch
claude-fable-51510.0050.00bedrockWatch
claude-opus-4-6152.5012.50vercel_ai_gatewayWatch
claude-opus-4-8152.5012.50vercel_ai_gatewayWatch
claude-sonnet-5152.0010.00databricksWatch
glm-5150.6001.92gmiWatch
qwen-3-30b150.0480.193streamlakeWatch
qwen-3-6-27b150.2502.00chutesWatch
claude-opus-4-5142.5012.50vercel_ai_gatewayWatch
claude-opus-5145.0025.00bedrockWatch
claude-sonnet-4-5141.507.50vercel_ai_gatewayWatch
minimax-m2-5140.2700.950veniceWatch
minimax-m2-7140.2100.840gmiWatch
mistral-large140.5001.50azure_aiWatch
mistral-nemo140.0170.022io_netWatch
qwen-3-5-35b140.0560.448baiduWatch
xiaomi-mimo-v2-6-flash140.0870.187relaceWatch
claude-fable-5-2138.0040.00bedrockWatch
claude-haiku-4-5130.5002.50vercel_ai_gatewayWatch
claude-opus-5-5132.0010.00vercel_ai_gatewayWatch
deepseek-chat130.2800.420deepseekWatch
hy4-preview130.4171.25tencentWatch
llama-3-1-70b-instruct130.1000.100fireworks_aiWatch
llama-3-2-3b-instruct130.0150.025lambda_aiWatch
qwen-2130.0200.060nebiusWatch
qwen-3-5-27b130.0840.671baiduWatch
qwen-3-coder-480b130.2501.00siliconflowWatch
claude-fable-5-11210.0050.00bedrockWatch

Showing the 60 most-contested of 2264 families.

2000 throughput numbers verified by ≥2 independent measurements

Every cost quote on this site sits on numbers that came from somewhere real. We don't average estimates and call it a benchmark. When two independent labs (NVIDIA, Dell, Cisco, Lenovo, AMD, ASUSTeK, Google, Oracle, Supermicro, GigaComputing) publish the same MLPerf result within 10%, we mark itverified-cross-checkedand surface it here.

1000
multi-lab MLPerf agreements
125
AA rows within hardware ceilings
7979
total throughput rows tracked

Best deploy: Llama 3.1 70B, 1.2M tokens

The end-to-end optimizer pulls hosted-API pricing, GPU rental hourlies, and self-deploy electricity (with PUE and grid carbon) into one ranked list. Same workload, three honest answers: cheapest dollars, greenest emissions, and the closed-source alternative.

Cheapest by $
$0.1000/M tokens
Mode: hosted-api
fireworks_ai
Greenest by gCO2
0.0060 kg CO2
Mode: hosted-gpu
1× h200-141gb via modal
$0.8407/M

Full ranked list: POST /api/v1/cost/best-deploy with {family, inputTokens, outputTokens}. Returns hosted-API + hosted-GPU + self-deploy options ranked by cost; closed-source families return hosted-API only.

Headline agreements

Sorted by number of independent labs that published the same benchmark. Delta is the tightest pairwise agreement. Click through to MLPerf v5.1 for the raw submissions.

ModelHardwareLabsTightest deltaThroughput
Llama 3 1 8B8× B200 180GB SXM6
gigacomputing, dell, supermicro, nvidia +2
0.06%142,136tok/s
Llama 3 1 405B8× B200 180GB SXM6
nvidia, gigacomputing, dell, google +2
0.10%1,624tok/s
Llama 2 70B8× MI325X 256GB5
amd, gigacomputing, asustek, supermicro +1
0.00%34,555tok/s
Mixtral 8x7b8× MI325X 256GB4
amd, gigacomputing, asustek, nvidia
0.00%68,781tok/s
Llama 2 70B8× H200 141GB SXM4
dell, asustek, google, nvidia
0.00%35,317tok/s
Llama 2 70B8× B200 180GB SXM4
nvidia, dell, supermicro, gigacomputing
0.17%101,527tok/s

Cheapest self-host options

Cost per million tokens for cross-checked throughput rows joined against verified public hourly GPU pricing. Single-node configurations only (multi-node MLPerf rows excluded — not rentable at public per-hour rates). Math:($/hr × gpu_count × 1M) / (tok/s × 3600)

ModelHardwareProviderThroughput$/M tokens
Mixtral 8x7b8× MI325X 256GBvultr69,692tok/s$0.064
Mixtral 8x7b8× MI300X 192GBvultr53,334tok/s$0.077
Llama 2 70B8× MI325X 256GBvultr34,555tok/s$0.129
Llama 2 70B8× MI300X 192GBvultr27,804tok/s$0.148
Llama 2 70B32× H100 80GB SXMcoreweave124,879tok/s$0.177
Llama 2 70B8× H200 141GBlambda31,267tok/s$0.276

Electricity by major AI city

Industrial meter rate × PUE (cooling overhead) = what the GPU actually pays for power. Same hyperscale workload (8×H100 SXM running MLPerf Llama-2-70B at 5,500 tok/s, 5,600W IT draw, PUE-adjusted facility draw). 5.3× differential from cheapest to most expensive. Sources: EIA (US, verified), Eurostat (EU + UK, verified), DESNZ (UK direct, verified), training approximations marked.

CityMeterPUEEffective $/kWhgCO2/kWh$/M (workload)kg CO2 (workload)
Abu DhabiUAE$0.05001.45$0.0725468$0.02050.230
Council BluffsUS$0.06431.15$0.0739417$0.02090.163
QuincyUS$0.06851.15$0.0788287$0.02230.112
DallasUS$0.06261.32$0.0826333$0.02340.149
AtlantaUS$0.06701.25$0.0838382$0.02370.162
MemphisUS$0.07061.28$0.0904407$0.02560.177
RenoUS$0.07661.25$0.0958287$0.02710.121
PhoenixUS$0.07171.40$0.1004319$0.02840.152
AshburnUS$0.10251.25$0.1281269$0.03620.114
StockholmSweden$0.12541.10$0.137935$0.03900.013
SeoulSouth Korea$0.11001.30$0.1430417$0.04040.184
MumbaiIndia$0.10001.45$0.1450670$0.04100.330
ParisFrance$0.13901.22$0.169641$0.04800.017
HobartAustralia$0.14501.30$0.1885—$0.0533—
FrankfurtGermany$0.16821.20$0.2018330$0.05710.134
AmsterdamNetherlands$0.17441.20$0.2093254$0.05920.103
TokyoJapan$0.16001.35$0.2160477$0.06110.219
MelbourneAustralia$0.16001.40$0.2240—$0.0634—
BrisbaneAustralia$0.15501.48$0.2294—$0.0649—
SydneyAustralia$0.16501.42$0.2343—$0.0663—
SingaporeSingapore$0.18001.45$0.2610497$0.07380.245
DublinIreland$0.28211.12$0.3160256$0.08940.098
AdelaideAustralia$0.22001.45$0.3190—$0.0902—
LondonUK$0.31501.22$0.3843217$0.10870.090

Pass ?cityCode=us-memphis to /api/v1/cost/run-locally and the calculator uses that city's rate instead of the $0.12 default. Full roster: /api/v1/electricity.

How cross-check works

multi-submitter

Two or more MLPerf labs published the same (model, hardware) result within 10%. The strongest signal. Headline rows above all use this.

temporal

Same AA provider scraped twice >5 days apart agreed within 10%. Confirms the number is stable, not a one-off blip. Starts populating a week after deploy.

cross-source

AA per-stream throughput lies in the physically-plausible band given MLPerf hardware ceiling. Weaker than multi-submitter but rules out rows that exceed hardware capability.

Full JSON roster: GET /api/v1/health/cross-check. Filter by ?axis= or ?family=. Each row carries the full evidence used in the upgrade.