Models

Model Access by Plan

Free, Starter, Pro, and Enterprise model tiers

Indic Models

Indic STT, TTS, and LLM models

Frontier Models

300+ frontier LLMs from every major provider

API Speed

Latency benchmarks and reasoning-effort matrix

Overview

CallMissed provides access to a tiered model catalog through a single OpenAI-compatible API:

• Fast LLMs — Kimi K2.5 at up to ~414 tokens/second on high-throughput GPUs. The default and fastest LLM for voice agents.
• Indic Models — purpose-built for Indian languages. STT, TTS, and LLM optimized for Hindi, Tamil, Telugu, Bengali, and 19 more.
• Direct-Routed LLMs — sub-2s open-weights models (Kimi K2.5/K2.6, GPT-OSS, Gemma-4, GLM, Nemotron, Mistral Small).
• First-Party Models — first-party OpenAI, xAI, DeepSeek, and Amazon voice deployments (gpt-4o, gpt-4.1, gpt-5-mini, grok-4.3, DeepSeek-V4-Pro, nova-sonic-2, realtime voice) plus first-party STT/TTS.
• Frontier Models — frontier models from OpenAI, Anthropic, Google, xAI, Qwen, Mistral, and more through one endpoint.

All models use the same authentication and request format. Just change the model field.

Models API

List all available models programmatically. No authentication required.

# List all models
curl https://api.callmissed.com/api/v1/models

# Filter by category: llm, stt, tts
curl https://api.callmissed.com/api/v1/models?category=llm

# Filter free-plan models only
curl https://api.callmissed.com/api/v1/models?free=true

# Get a specific model
curl https://api.callmissed.com/api/v1/models/sarvam-30b

# Which models each plan tier can call
curl https://api.callmissed.com/api/v1/models/access

Response includes: id, name, description, category, owned_by, context_window, context_length (alias of context_window for OpenAI-style clients), pricing, free, supports_streaming, supports_tools, supports_reasoning, and supports_vision.

The OpenAI-compatible listing at GET /v1/models (requires Authorization: Bearer cm_*) returns the same enriched fields, and the Anthropic-shape listing at GET /anthropic/v1/models surfaces them inside Anthropic's {data, has_more, first_id, last_id} envelope.

Free Plan Models

The free tier includes 25 models across four categories. Use GET /api/v1/models?free=true to list them, or see the Model Access by Plan page for the full breakdown.

LLM (12 models)

STT (3 models)

TTS (4 models)

Image (6 free + 5 paid)

All other models — including kimi-k2.5-fast, first-party IDs (gpt-4o, gpt-4.1, gpt-5-mini, grok-4.3, DeepSeek-V4-*, gpt-realtime*, nova-sonic*, first-party STT/TTS), the Deepgram direct line (deepgram-nova-3, deepgram-flux-general-en/multi, deepgram-nova-2*, deepgram-enhanced*, deepgram-base*, deepgram-whisper-*, deepgram-aura-2, Deepgram Voice Agent deepgram-voice-* ids, the deepgram-summarize/topics/sentiment/intents Audio Intelligence features, and the deepgram-text-summarize/topics/sentiment/intents Text Intelligence features), slash-prefixed frontier IDs (openai/*, anthropic/*, google/*, x-ai/*, qwen/*, mistralai/*), and paid image models (flux-2-pro, nano-banana-*) — require Starter, Pro, or Enterprise.

Pricing

All models are pay-per-use. Pricing is in USD.

Full pricing for all models is available via the API: GET /api/v1/models

import requests

# List all LLM models
models = requests.get("https://api.callmissed.com/api/v1/models?category=llm").json()
for m in models["data"]:
    print(f"{m['id']} — {m['name']} ({m['context_window']} tokens) {'FREE' if m['free'] else 'PAID'}")

Fast LLMs

High-throughput Kimi K2.5 inference tier optimized for voice-agent latency.

While kimi-k2.5-fast is in maintenance (returns HTTP 503), use kimi-k2.5:

response = client.chat.completions.create(
    model="kimi-k2.5",
    messages=[{"role": "user", "content": "Hello"}]
)

Indic Models

Speech to Text

For 99-language general-purpose transcription, see whisper-large-v3-turbo. For diarization + smart-format on calls, see nova-3. Both are free-tier and live under the audio model routes.

Text to Speech

For low-latency English / Spanish voice agents, see aura-2-en / aura-2-es. For ultra-cheap en/fr notification audio, see melotts. All three are free-tier.

Chat Completion (LLM)

Both sarvam-30b and sarvam-105b support hybrid thinking mode via reasoning_effort: "low" | "medium" | "high". "none" and "minimal" are mapped down to "low" (verified 2026-05-01) so OpenAI-style clients sending reasoning_effort: "none" for thinking-off still get a 200. Full thinking-disable is available on the direct-routed kimi-k2.5 / kimi-k2.6 / kimi-k2.7-code / gemma-4-26b-a4b-it models.

Audio Models

Free-tier on every plan. See the Pricing page for current rates.

Speech to Text

Deepgram (direct) — the full Deepgram speech-to-text line, billed pass-through at Deepgram's published rates:

Text to Speech

Aura 2 returns linear16 PCM streamed at 24 kHz for low-latency playback. MeloTTS returns base64 MP3. Output formats may vary as models are updated.

Audio Intelligence (Deepgram)

Deepgram Audio Intelligence runs analysis over an uploaded audio file via POST /v1/audio/intelligence (English only, 150K input-token limit). Token-billed at $0.0003/1K input + $0.0006/1K output.

Request multiple features in one call with a comma-separated features form field (e.g. features=deepgram-summarize,deepgram-sentiment).

Text Intelligence (Deepgram)

Deepgram Text Intelligence runs the same four analyses over text input (a string or a hosted text URL) via POST /v1/text/intelligence (English only, 150K input-token limit). Token-billed at $0.0003/1K input + $0.0006/1K output. Requires the llm key permission.

Send a JSON body with features (array or comma-separated string) and exactly one of text or url:

{
  "features": ["deepgram-text-summarize", "deepgram-text-sentiment"],
  "text": "Your text to analyze here."
}

Direct-Routed LLMs

Low-latency models routed directly through CallMissed — sub-2s end-to-end on small prompts and free-tier eligible per the reasoning_effort matrix.

Frontier Models

Access frontier models via the same /v1/chat/completions endpoint. Use the slash-prefixed model ID as the model field.

"300+ models" — what that means. CallMissed maintains a curated catalog of ~67 first-party models (Indic STT/TTS/LLM, direct-routed fast models, realtime speech-to-speech voice, image, and the popular frontier IDs below). On top of that, *any* of 300+ and growing frontier models is reachable as a passthrough by sending its slash-prefixed ID (e.g. openai/gpt-5.4) even if it isn't in our curated list. Passthrough models are billed at the listed per-model rate and aren't guaranteed to appear in GET /v1/models.

Popular Models

Use auto to let CallMissed select the best free model for your prompt automatically.

First-Party Models

Credit-covered first-party models. Use the bare model ID in API requests — e.g. gpt-4o.

See Credits & Rate Limits for per-model USD pricing.

Full Model Catalog

A curated, representative slice of the 131 models (71 LLM · 42 STT · 7 TTS · 11 image) served by GET /api/v1/models as of the latest deploy — the per-domain variants of the direct Deepgram STT line and the deepgram-voice-* managed LLM ids are covered in their own sections above rather than repeated below. For live pricing and capability flags (supports_vision, supports_tools, free), query the API — it always reflects the current catalog.

LLM (42 models)

Speech to Text (8 models)

Text to Speech (6 models)

Image Generation (11 models)

Filter programmatically — GET /api/v1/models?category=llm, ?category=stt, ?category=tts, ?category=image, or ?free=true for free-plan models only.

Model Selection

Pass the model ID in your request:

# Indic LLM
response = client.chat.completions.create(
    model="sarvam-30b",
    messages=[{"role": "user", "content": "Hello in Hindi"}]
)

# Indic LLM with thinking mode
response = client.chat.completions.create(
    model="sarvam-105b",
    messages=[{"role": "user", "content": "Solve this step by step"}],
    extra_body={"reasoning_effort": "high"}
)

# Frontier model
response = client.chat.completions.create(
    model="openai/gpt-5.4-mini",
    messages=[{"role": "user", "content": "Hello"}]
)

The API automatically routes to the correct backend based on the model ID:

• Bare names (kimi-k2.5, gpt-4o, DeepSeek-V4-Pro, mistral-small-3.1, …) → direct-routed or first-party
• sarvam-* prefix → Indic LLMs
• Slash-prefixed (openai/, anthropic/, google/, …) → frontier catalog