Models

Overview

138 models, one OpenAI-compatible API. Same auth, same request shape — change the model field and nothing else.

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, image, embedding
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-105b

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

Each entry includes id, name, description, category, owned_by, context_window, max_output_tokens (only where the model documents an output limit), pricing (US$), free, supports_streaming, supports_tools, supports_reasoning, supports_vision, zero_data_retention, hosted_in_india, voice_capable (valid for POST /v1/voice/sessions), voice_agent_only, and speed_tier. A model that is temporarily unavailable also carries status: "maintenance" and a status_message naming the alternative. Embedding models add dimensions; TTS models add their voice list. The response is {object: "list", total, data}.

The OpenAI-compatible listing at GET /v1/models (requires Authorization: Bearer cm_*) returns the same capability fields plus context_length (an alias of context_window for OpenAI-style clients), but a shorter list: it hides models that are only valid for voice sessions (nova-sonic*, gpt-realtime*, deepgram-voice-*). Use GET /api/v1/models for the full catalog. The Anthropic-shape listing at GET /anthropic/v1/models returns the same set inside Anthropic's {data, has_more, first_id, last_id} envelope.

Free Plan Models

The free tier includes 27 models across five categories. Use GET /api/v1/models?free=true to list them, or see the Model Access by Plan page for the full breakdown.

LLM (11 models)

STT (4 models)

TTS (4 models)

Image (6 models)

Embedding (2 models)

A free-plan key calling a paid model gets 403 model_not_available — it is not billed, it is refused. Upgrade to Starter or above first.

All other models — including kimi-k2.5-fast, glm-5.3, gemma-4-31b, the gemini-* chat models, first-party IDs (gpt-4o, gpt-4.1, gpt-5-mini, gpt-5.5, gpt-5.6-*, gpt-6-*, gpt-6.1-sol, grok-4.3, DeepSeek-V4-*, gpt-realtime*, gpt-live-1, nova-sonic*, first-party STT/TTS), the other speech models (gnani-*, ink-*, sonic-3.6), 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-aura-1, 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), and paid image models (flux-2-pro, flux-1.1-pro, gpt-image-2.5-*, gpt-image-2, gpt-image-1.5, nano-banana-*, gemini-3.1-flash-lite-image) — require Starter, Pro, or Enterprise.

Pricing

All models are pay-per-use. Pricing is in US$ at US$1 = ₹96; you pay in credits, where 1 credit = ₹1 ≈ US$0.0104.

These eight values go in the features field, not in model. They are not catalog models — GET /api/v1/models/deepgram-summarize returns 404.

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.

ink-whisper also covers Hindi, Urdu and Tamil as part of its 100-language set at $0.1875 / hr — cheaper than the Indic-specialist models, though without their code-mix output modes. ink-2 covers Hindi among its five languages (en, fr, hi, ja, es) but no other Indic language.

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)

glm-5.3 always reasons. reasoning_effort takes "low", "high" or "max" (the default when omitted); "none" and "minimal" map to "low", "medium" to "high" and "xhigh" to "max". Reasoning tokens bill as output. gemma-4-31b answers without thinking by default. reasoning_effort: "low", "medium" or "high" switch thinking on; the level does not reliably change how much it thinks. "none" and "minimal" keep it off. Both are paid-plan models.

Both sarvam-105b models support hybrid thinking via reasoning_effort: "low" | "high" | "max", and "xhigh" maps to "max". "none" and "minimal" switch thinking fully off. "medium" is not one of their levels, so it is dropped and the model runs at its default. Other models with a full off switch: kimi-k2.5, kimi-k2.6, glm-4.7-flash, glm-5.2, gemma-4-26b-a4b-it, gemma-4-31b, DeepSeek-V4-Pro, DeepSeek-V4-Flash, or a GPT-5.5 / GPT-5.6 / GPT-6 model with reasoning_effort: "none". See the per-model matrix.

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 per audio hour at the rates below:

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.

Deepgram Flux TTS is a voice-agent-first model and is not available on this /v1/audio/speech endpoint. It is offered only through the managed Voice Agent (see the Voice Sessions API), selectable with tts_engine: "flux", where it is billed inside the per-minute voice rate.

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 $0.0003125/1K input + $0.000625/1K 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 $0.0003125/1K input + $0.000625/1K 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.

Models on Demand

GET /api/v1/models lists everything in the catalogue today: 138 model IDs. Models marked status: "maintenance" return 503 until they are back.

Beyond that we deploy 300+ further models on demand on CallMissed infrastructure. Send the model you need and your expected throughput to sales@callmissed.com. Once deployed it appears in your GET /api/v1/models response with a plain CallMissed ID and published per-token pricing, on the same /v1/chat/completions endpoint as every other model. Same key, same credit balance, no new SDK.

Enterprise accounts get dedicated capacity. Starter and Pro get shared capacity where the model allows it.

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 138 models (67 LLM · 45 STT · 9 TTS · 15 image · 2 embedding) 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 (43 models)

Speech to Text (11 models)

Text to Speech (7 models)

Image Generation (15 models)

Embeddings (2 models)

Both accept 8,192-token inputs and support shortening the vector with dimensions. See Embeddings.

Tip: Filter programmatically — GET /api/v1/models?category=llm, ?category=stt, ?category=tts, ?category=image, ?category=embedding, 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-105b",
    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"}
)

# First-party flagship model
response = client.chat.completions.create(
    model="gpt-5.6-luna",
    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
• saaras:* / bulbul:* / deepgram-* / image IDs → the matching speech or image backend

Every ID is a plain CallMissed ID with no vendor prefix — including models we deploy on demand.