LMSpeed Docs

LMSpeed Models API: get public model detail

Fetch one published canonical model by slug. Use this endpoint for model profile pages and detail views. The default response includes core metadata, aggregate LMSpeed speed stats, benchmark-derived pricing summary, performance summary, and headline benchmark metrics. `include=benchmarks` returns enough public data to render benchmark cards, detailed score groups, leaderboard snippets, and category performance charts: metric values, ranks, ranked counts, direction, aggregate flag, eval date, standard error, confidence, update time, nearby leaderboard models, display-ready benchmark groups, and category performance coverage/scores. `include=pricing` returns benchmark pricing metrics such as input, output, and blended prices. `include=capabilities` adds parsed model capability metadata. Internal origin fields are intentionally omitted. Public displays using this endpoint must include a visible backlink to https://lmspeed.net. Backlink example: Source: LMSpeed.net (https://lmspeed.net). Cache responses on your side and avoid sending high-volume repeated requests.

GET
/api/v1/models/{slug}

Fetch one published canonical model by slug.

Use this endpoint for model profile pages and detail views. The default response includes core metadata, aggregate LMSpeed speed stats, benchmark-derived pricing summary, performance summary, and headline benchmark metrics.

include=benchmarks returns enough public data to render benchmark cards, detailed score groups, leaderboard snippets, and category performance charts: metric values, ranks, ranked counts, direction, aggregate flag, eval date, standard error, confidence, update time, nearby leaderboard models, display-ready benchmark groups, and category performance coverage/scores.

include=pricing returns benchmark pricing metrics such as input, output, and blended prices. include=capabilities adds parsed model capability metadata. Internal origin fields are intentionally omitted.

Public displays using this endpoint must include a visible backlink to https://lmspeed.net.

Backlink example: Source: LMSpeed.net (https://lmspeed.net).

Cache responses on your side and avoid sending high-volume repeated requests.

Authorization

publicApiKey
x-api-key<token>

Free public key for LMSpeed model data. Public keys never expire and are limited to 1000 requests/day.

In: header

Path Parameters

slug*string

Canonical model slug.

Query Parameters

locale?string

Language used for localized model descriptions. Numeric metrics and prices are locale-independent.

Default"en"

Value in

  • "en"
  • "zh"
  • "ru"
include?string

Comma-separated expansions. Supported for detail responses: benchmarks, pricing, capabilities.

Header Parameters

x-api-key*string

Free public API key created from LMSpeed settings. Send it exactly as the x-api-key header.

Response Body

application/json

application/json

application/json

application/json

application/json

curl -X GET "https://example.com/api/v1/models/deepseek-v4-pro?include=benchmarks%2Ccapabilities" \  -H "x-api-key: string"

Core model metadata, performance summary, pricing summary, benchmark count, and headline benchmark metrics.

{  "tier": "free",  "locale": "en",  "attribution": {    "required": true,    "name": "LMSpeed",    "url": "https://lmspeed.net"  },  "data": {    "slug": "deepseek-v4-pro",    "name": "DeepSeek V4 Pro",    "lmspeed_url": "https://lmspeed.net/model/deepseek-v4-pro",    "developer": "DeepSeek",    "release_date": "2026-04-24T03:17:59.000Z",    "context_window_tokens": 1048576,    "max_output_tokens": 384000,    "performance_summary": {      "average_tokens_per_second": 49.85478210449219,      "average_first_token_latency": 7150.391125488281    },    "pricing_summary": {      "input_price_per_million": 1.74,      "output_price_per_million": 3.48,      "blended_price_per_million": 2.175,      "updated_at": "2026-05-18T16:00:18.721Z"    },    "benchmark_count": 53,    "benchmark_summary": [      {        "metric_key": "overall_score",        "label": "Overall score",        "group": "aggregate",        "value": 82,        "unit": "index",        "rank": 10,        "ranked_count": 77,        "higher_is_better": true,        "is_aggregate": true,        "eval_date": "2026-04-24T00:00:00.000Z",        "stderr": null,        "confidence": 2,        "updated_at": "2026-06-16T05:22:40.309Z",        "nearby_models": [          {            "slug": "mimo-v2-pro",            "name": "MiMo-V2-Pro",            "value": 84,            "rank": 7          },          {            "slug": "deepseek-v4-pro",            "name": "DeepSeek V4 Pro",            "value": 82,            "rank": 10          }        ]      }    ]  }}

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{  "error": {    "code": "string",    "message": "string",    "details": null  }}
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