Sports-2

infersia/sports-2

Experimental A/B of the Sports-1 grounding stack on a different base model.

Experimental sibling of Sports-1: Infersia's proprietary sports grounding stack — live betting lines, player props, scores, standings, results and roster tools, the settlement rulebook and the betslip reader — on a 27-billion-parameter dense vision model. Dense means all 27B parameters compute on every token (Sports-1's mixture-of-experts activates 18B of its 320B), which is what the higher output price pays for. Multimodal (reads betslip screenshots). Here to be compared, not to replace Sports-1. 1M-token context (long-context requests are served text-only).

Get an API key

Endpoints

Each row is one provider serving these weights at one precision. Prices are per million tokens.

Quantisation	Context	Max out	Input	Output	Cached in
Undisclosed	977K	32K	$0.75	$3.25	$0.10

Prefix caching is enabled and the discount is passed through. If your agent replays the same system prompt each iteration, the repeated portion bills at the cached rate.

Agent config

Paste this into your coding agent and it can configure itself. The timeout is derived from this variant's measured throughput, not a guess — a long generation that outlives a client's default ceiling is the most common way a working request looks broken.

# Infersia — infersia/sports-2
# Paste this to your agent. Values are measured, not aspirational.

provider:
  type: openai-compatible
  base_url: https://api.infersia.com/v1
  api_key: ${INFERSIA_API_KEY}   # from https://infersia.com/dashboard/keys
  model: infersia/sports-2

limits:
  max_input_tokens: 1000000      # hard limit — over this returns HTTP 413
  max_output_tokens: 32768
  timeout_seconds: 600                  # no throughput measured yet; 600 is a safe default

features:
  streaming: true
  tools: true
  vision: true
  reasoning: true   # OFF by default; send chat_template_kwargs.enable_thinking=true to opt in
  prompt_caching: true   # automatic; reuse a stable prefix and it bills at the cache rate

pricing_usd_per_million_tokens:
  input: 0.75
  output: 3.25
  cached_input: 0.1

What Undisclosed means

This model is served on capacity we buy rather than hardware we operate, so we cannot verify the precision it is served at. We would rather say that than print a figure we are guessing at.

Call it

curlbash

curl https://api.infersia.com/v1/chat/completions \
  -H "Authorization: Bearer $INFERSIA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "infersia/sports-2",
    "messages": [{"role": "user", "content": "Hello"}],
    "stream": true
  }'

Pin a provider with infersia/sports-2@infersia, or take the cheapest with the bare id. Add :free for the rate-limited free tier where one exists.