20 KiB
20 KiB
LLM Model Benchmark & Service Catalogue
Last updated: 2026-05-23 | Models: 60 | Source: LiteLLM /model/info + live benchmarks
Overview
This catalogue covers all 60 models registered in the homelab LiteLLM proxy (http://192.168.1.40:14000).
Live latency figures are TTFT proxies measured from this host via a single max_tokens=5 completion request.
Speed tiers are based on live measurements and published inference benchmarks.
Providers at a glance:
| Provider | Models | Notes |
|---|---|---|
| Claude (Anthropic via openai-compat) | 8 | claude-max subscription; aliases included |
| Mistral API | 10 | voxtral voice family + codestral + OCR |
| Gemini API | 12 | Flash/Pro/embedding families |
| SAIA (self-hosted GPU cluster) | 22 | OpenAI-compatible; local GPU inference |
| Groq | 2 | Ultra-fast cloud inference |
| Cerebras | 2 | Ultra-fast wafer-scale inference |
| Cohere | 2 | Embeddings only |
Performance Tiers
| Tier | Symbol | Typical TTFT | Profile |
|---|---|---|---|
| Ultra-fast | 🚀 | < 200 ms | Groq, Cerebras, cached SAIA small models |
| Fast | ⚡ | 200–600 ms | Mistral API, Gemini Flash, SAIA mid-size |
| Standard | 🔵 | 600–2 000 ms | Claude, Gemini Pro, large API models |
| Self-hosted | 🏠 | varies | SAIA cluster; latency depends on GPU load & model size |
Note: SAIA models with very low latency (< 50 ms) on the trivial benchmark likely hit a cached/KV-prefilled response; real-world TTFT for longer prompts will be higher. Treat SAIA figures as best-case.
Model Catalogue
Chat & Reasoning Models
| Model ID | Provider | Backend | Context | Vision | Tools | Cost In $/1M | Cost Out $/1M | Live Latency | Speed Tier | Notes |
|---|---|---|---|---|---|---|---|---|---|---|
| claude-sonnet-4-6 | Anthropic | openai-compat | 200K | ✓ | ✓ | $3.00 | $15.00 | 2 083 ms | 🔵 | Flagship balance model |
| claude-opus-4-7 | Anthropic | openai-compat | 200K | ✓ | ✓ | $15.00 | $75.00 | 3 218 ms | 🔵 | Highest capability Claude |
| claude-haiku-4-5 | Anthropic | openai-compat | 200K | ✓ | ✓ | $0.80 | $4.00 | 1 453 ms | 🔵 | Fast + cheap Claude tier |
| claude-sonnet-4-6-high | Anthropic | openai-compat | 200K | ✓ | ✓ | $3.00 | $15.00 | 1 746 ms | 🔵 | Extended thinking variant |
| claude-opus-4-7-high | Anthropic | openai-compat | 200K | ✓ | ✓ | $15.00 | $75.00 | 2 285 ms | 🔵 | Extended thinking variant |
| voxtral-small-latest | Mistral | Mistral API | 256K | ✓ | ✓ | — | — | 160 ms | 🚀 | Voice+text multimodal |
| mistral-small-latest | Mistral | Mistral API | 131K | ✓ | ✓ | $0.06 | $0.18 | 222 ms | 🚀 | Cheapest Mistral chat |
| voxtral-mini-latest | Mistral | Mistral API | 100K | ✓ | ✓ | — | — | ERROR | ❌ | Proxy config error (saia-image-proxy unreachable) |
| codestral-latest | Mistral | Mistral API | 16K | ✓ | ✓ | $1.00 | $3.00 | 275 ms | ⚡ | Coding-specialised Mistral |
| mistral-large-latest | Mistral | Mistral API | 262K | ✓ | ✓ | $0.50 | $1.50 | 309 ms | ⚡ | Flagship Mistral chat |
| pixtral-large-latest | Mistral | Mistral API | 128K | ✓ | ✓ | $2.00 | $6.00 | 27 ms | 🚀 | Vision flagship; very low latency (likely cached) |
| voxtral-mini-realtime-latest | Mistral | Mistral API | 4K | ✗ | ✓ | — | — | ERROR | ❌ | Invalid model per API; realtime/ws endpoint only |
| gemini-2.5-flash | Gemini API | 65K | ✓ | ✓ | $0.30 | $2.50 | 501 ms | ⚡ | Best-value Gemini; fast + smart | |
| gemini-2.5-flash-lite | Gemini API | 65K | ✓ | ✓ | $0.10 | $0.40 | 518 ms | ⚡ | Lightest + cheapest Gemini | |
| gemini-2.5-pro | Gemini API | 65K | ✓ | ✓ | $1.25 | $10.00 | 888 ms | 🔵 | Top Gemini reasoning | |
| gemini-3.1-pro-preview | Gemini API | 65K | ✓ | ✓ | $2.00 | $12.00 | 1 215 ms | 🔵 | Next-gen Gemini Pro preview | |
| gemini-3-pro-preview | Gemini API | 65K | ✓ | ✓ | $2.00 | $12.00 | 1 258 ms | 🔵 | Gemini 3 Pro preview | |
| gemini-3.1-flash-lite | Gemini API | — | ✓ | ✓ | — | — | 482 ms | ⚡ | Gemini 3.1 flash lite preview | |
| devstral-2-123b-instruct-2512 | Mistral | SAIA | 4K | ✗ | ✓ | — | — | 157 ms | 🏠 | 123B coding model via SAIA GPU |
| qwen3-coder-30b-a3b-instruct | Alibaba | SAIA | 32K | ✗ | ✓ | — | — | 5 ms | 🏠 | MoE coding model; 5 ms = cached |
| openai-gpt-oss-120b | OpenAI | SAIA | 131K | ✗ | ✗ | — | — | 118 ms | 🏠 | OpenAI open-weight 120B via SAIA |
| qwen3-omni-30b-a3b-instruct | Alibaba | SAIA | 16K | ✓ | ✓ | — | — | 178 ms | 🏠 | Multimodal MoE; voice+vision |
| llama-3.3-70b-instruct | Meta | SAIA | 131K | ✗ | ✓ | — | — | 168 ms | 🏠 | Reliable general-purpose 70B |
| deepseek-r1-distill-llama-70b | DeepSeek | SAIA | 131K | ✗ | ✗ | — | — | 325 ms | 🏠 | R1 reasoning distill; outputs <think> tokens |
| qwen3.5-35b-a3b | Alibaba | SAIA | 65K | ✓ | ✓ | — | — | 250 ms | 🏠 | MoE 35B A3B |
| qwen3.5-27b | Alibaba | SAIA | 131K | ✗ | ✓ | — | — | 266 ms | 🏠 | Dense 27B |
| qwen3.6-35b-a3b | Alibaba | SAIA | 65K | ✓ | ✓ | — | — | 204 ms | 🏠 | MoE 35B A3B v3.6 |
| apertus-70b-instruct-2509 | Apertus | SAIA | 4K | ✗ | ✗ | — | — | 143 ms | 🏠 | Small context; general chat |
| glm-4.7 | Zhipu | SAIA | 128K | ✗ | ✓ | — | — | 210 ms | 🏠 | GLM-4 series |
| qwen3-30b-a3b-instruct-2507 | Alibaba | SAIA | 262K | ✗ | ✗ | — | — | 127 ms | 🏠 | MoE 30B, very large context |
| gemma-3-27b-it | SAIA | 131K | ✗ | ✓ | — | — | 284 ms | 🏠 | Gemma 3 27B instruct | |
| internvl3.5-30b-a3b | InternLM | SAIA | 16K | ✓ | ✓ | — | — | 116 ms | 🏠 | Vision+tools MoE 30B |
| qwen3.5-122b-a10b | Alibaba | SAIA | 65K | ✓ | ✓ | — | — | 372 ms | 🏠 | MoE 122B A10B; larger/slower |
| qwen3.5-397b-a17b | Alibaba | SAIA | 65K | ✓ | ✓ | — | — | 248 ms | 🏠 | Largest SAIA MoE model |
| gemma-4-31b-it | SAIA | 8K | ✓ | ✓ | — | — | 177 ms | 🏠 | Gemma 4 multimodal | |
| meta-llama/llama-4-scout-17b-16e-instruct | Meta | Groq | 8K | ✓ | ✓ | $0.11 | $0.34 | 442 ms | 🚀 | Groq-accelerated; 442 ms incl. queue |
| cerebras-llama-3.1-8b | Meta | Cerebras | 128K | ✗ | ✓ | $0.10 | $0.10 | 258 ms | 🚀 | Wafer-scale ~2 000 TPS |
| cerebras-qwen-3-235b | Alibaba | Cerebras | — | ✗ | ✗ | — | — | 199 ms | 🚀 | 235B at wafer-scale speed |
Embedding Models
| Model ID | Provider | Backend | Context | Dimensions | Cost $/1M | Notes |
|---|---|---|---|---|---|---|
| gemini-embedding-2 | Gemini API | 8K | — | $0.20 | Primary Gemini embedding | |
| gemini-embedding-001 | Gemini API | 2K | — | $0.15 | Legacy Gemini embedding | |
| text-embedding-ada-002 | Gemini API | 8K | — | $0.20 | Alias → gemini-embedding-2 | |
| text-embedding-3-small | Gemini API | 8K | — | $0.20 | Alias → gemini-embedding-2 | |
| text-embedding-3-large | Gemini API | 8K | — | $0.20 | Alias → gemini-embedding-2 | |
| multilingual-e5-large-instruct | Microsoft | SAIA | 8K | 1 024 | — | Self-hosted multilingual; strong for DE/EN RAG |
| cohere-embed-multilingual-v3 | Cohere | Cohere API | 1K | 1 024 | $0.10 | 100+ languages |
| cohere-embed-english-v3 | Cohere | Cohere API | 1K | 1 024 | $0.10 | English-only; higher EN accuracy |
Audio Models (TTS / ASR)
| Model ID | Provider | Backend | Type | Language | Notes |
|---|---|---|---|---|---|
| tts-1-de | SAIA | Piper | TTS | German | Self-hosted German TTS |
| tts-1 | SAIA | Kokoro-82M | TTS | EN + others | Self-hosted multilingual TTS |
| voxtral-mini-tts-latest | Mistral | Mistral API | TTS | Multilingual | Mistral voice synthesis |
| saia-whisper | SAIA | whisper-large-v2 | ASR | Multilingual | Self-hosted transcription |
| whisper-1 | SAIA | faster-whisper-large-v3 | ASR | Multilingual | Faster self-hosted transcription |
| voxtral-mini-transcribe-2507 | Mistral | Mistral API | ASR | Multilingual | Mistral audio transcription; ctx 16K |
| whisper-large-v3-turbo | Meta | Groq | ASR | Multilingual | Groq-accelerated; fastest transcription |
Image Models
| Model ID | Provider | Backend | Type | Notes |
|---|---|---|---|---|
| saia-flux | SAIA | FLUX | Image gen | Self-hosted FLUX; note: garbles text labels |
| gemini-2.5-flash-image | Gemini API | Image gen | ctx 32K; multimodal image generation | |
| saia-image-edit | SAIA | Qwen-Image-Edit | Image edit | Image editing/inpainting |
| mistral-ocr-latest | Mistral | Mistral API | OCR | Document OCR; not a chat model |
Service Recommendations
Nextcloud Assistant
Smart file/email/calendar assistant, summaries, writing help — multilingual DE/EN
| Role | Model | Reasoning |
|---|---|---|
| Primary | mistral-small-latest |
Cheapest API model with tool use, vision, 131K context, and 222 ms TTFT. Handles German natively. |
| Fallback | claude-haiku-4-5 |
If higher quality needed; still cost-effective at $0.80/$4 and 1 453 ms TTFT. |
| Alt (local) | qwen3.5-27b |
Free if staying fully on SAIA GPU cluster; 131K context + tools. |
model: mistral-small-latest
Karakeep (Bookmarks / Reading)
Summarise articles, extract key points, tag/categorise — no vision required
| Role | Model | Reasoning |
|---|---|---|
| Primary | gemini-2.5-flash-lite |
Cheapest API model at $0.10/$0.40, 518 ms TTFT, strong comprehension. |
| Fallback | mistral-small-latest |
Slightly pricier but faster at 222 ms. |
model: gemini-2.5-flash-lite
Home Assistant
Intent recognition, automation triggers, voice pipeline — ultra-low latency critical
| Role | Model | Reasoning |
|---|---|---|
| Primary | cerebras-llama-3.1-8b |
258 ms measured TTFT, ~2 000 TPS on Cerebras wafer silicon; best latency for real-time voice. 128K context, tools. |
| Fallback | mistral-small-latest |
222 ms TTFT, API-based, reliable tool calling. |
| Local alt | internvl3.5-30b-a3b |
116 ms on SAIA; avoids API cost for high-frequency automations. |
model: cerebras-llama-3.1-8b
LobeChat Default
General chat assistant for daily use — balanced quality / speed / cost, vision nice
| Role | Model | Reasoning |
|---|---|---|
| Primary | gemini-2.5-flash |
501 ms, vision, tools, large context, excellent reasoning at $0.30/$2.50. Best all-rounder. |
| Fallback | claude-sonnet-4-6 |
Higher quality ceiling; use when depth matters over cost. |
| Free alt | qwen3.5-397b-a17b |
Largest self-hosted model; free on SAIA with vision + tools at 248 ms. |
model: gemini-2.5-flash
Code Assistant (Coder / IDE)
Code completion, review, debugging — strong code ability, large context, tools
| Role | Model | Reasoning |
|---|---|---|
| Primary | claude-sonnet-4-6 |
Best overall coding + reasoning; 200K context, tool use, reliable output. |
| Fast/cheap | codestral-latest |
Coding-specialist Mistral at 275 ms with 16K context; good for completion. |
| Local coding | devstral-2-123b-instruct-2512 |
123B SAIA coding model at 157 ms; free inference. |
| MoE coding | qwen3-coder-30b-a3b-instruct |
32K context, tools, extremely fast (5 ms cached); best SAIA coding model. |
model: claude-sonnet-4-6 # IDE / review
model: qwen3-coder-30b-a3b-instruct # local completion
Document OCR / Ingestion
Paperless → Docling → extract text — vision + OCR capable, large context
| Role | Model | Reasoning |
|---|---|---|
| Primary | mistral-ocr-latest |
Dedicated OCR endpoint; purpose-built for document text extraction. |
| Fallback | gemini-2.5-pro |
65K context, vision, strong at structured extraction from images. |
| Alt vision | pixtral-large-latest |
Mistral vision flagship at 27 ms (cached); good document parsing. |
model: mistral-ocr-latest # OCR pipeline
model: gemini-2.5-pro # fallback / complex layouts
Embeddings (Karakeep / LobeChat KB)
Semantic search, RAG, knowledge base — multilingual, high dimensions
| Role | Model | Reasoning |
|---|---|---|
| Primary (API) | gemini-embedding-2 |
8K context, $0.20/1M, strong multilingual. |
| Primary (local) | multilingual-e5-large-instruct |
Self-hosted on SAIA, 1 024-dim, excellent DE/EN RAG, zero API cost. |
| Multilingual API | cohere-embed-multilingual-v3 |
100+ languages, 1K context, $0.10/1M. |
model: multilingual-e5-large-instruct # local RAG
model: gemini-embedding-2 # API fallback
Note:
text-embedding-ada-002,text-embedding-3-small, andtext-embedding-3-largeare all aliases forgemini-embedding-2— use the canonical ID to avoid confusion.
Image Generation
ComfyUI complement, quick drafts
| Role | Model | Reasoning |
|---|---|---|
| Primary | saia-flux |
Self-hosted FLUX on SAIA GPU; no API cost. Note: avoid text in generated images (garbles). |
| API alt | gemini-2.5-flash-image |
Gemini multimodal image gen for quick API-based drafts. |
| Editing | saia-image-edit |
Qwen image editing for inpainting / modifications. |
model: saia-flux
TTS (Voice Interfaces)
Read content aloud, voice responses
| Role | Model | Reasoning |
|---|---|---|
| German | tts-1-de |
Self-hosted Piper; native German pronunciation. |
| Multilingual | tts-1 |
Self-hosted Kokoro-82M; covers EN + others, zero cost. |
| API quality | voxtral-mini-tts-latest |
Mistral neural TTS for higher-quality voice synthesis. |
model: tts-1-de # German HA / Nextcloud voice
model: tts-1 # English / multilingual
Transcription (Meetings / Voice)
Speech to text
| Role | Model | Reasoning |
|---|---|---|
| Primary | whisper-large-v3-turbo |
Groq-accelerated; fastest available transcription. |
| Local | whisper-1 |
faster-whisper-large-v3 on SAIA; fully self-hosted, no API cost. |
| Fallback | saia-whisper |
whisper-large-v2 on SAIA; slightly older model. |
model: whisper-large-v3-turbo # real-time meetings
model: whisper-1 # offline / batch
Reasoning / Analysis
Complex problem solving, research, multi-step tasks
| Role | Model | Reasoning |
|---|---|---|
| Primary | claude-opus-4-7-high |
Extended thinking mode; highest reasoning capability available. |
| Cheaper | gemini-2.5-pro |
Strong reasoning at 888 ms, $1.25/$10.00; good for research tasks. |
| Local reasoning | deepseek-r1-distill-llama-70b |
R1 chain-of-thought via SAIA at 325 ms; outputs <think> tokens. |
| Fast reasoning | cerebras-qwen-3-235b |
235B model at 199 ms on Cerebras wafer silicon. |
model: claude-opus-4-7-high # deep analysis
model: deepseek-r1-distill-llama-70b # local reasoning
Batch / Offline Processing
Non-real-time document processing — cost-optimised, high throughput
| Role | Model | Reasoning |
|---|---|---|
| Primary | gemini-2.5-flash-lite |
$0.10/$0.40; cheapest API model with tools + vision. |
| Free | llama-3.3-70b-instruct |
SAIA self-hosted 70B at 168 ms; 131K context, no API cost. |
| Alt | qwen3-30b-a3b-instruct-2507 |
262K context MoE; good for long-document batch on SAIA. |
model: gemini-2.5-flash-lite # cost-sensitive API batch
model: llama-3.3-70b-instruct # free local batch
Aliases & Duplicates
The following model IDs are aliases that route to the same backend model. Use the canonical ID in production to avoid ambiguity:
| Alias ID | Canonical Model | Notes |
|---|---|---|
sonnet |
claude-sonnet-4-6 |
Short alias |
opus |
claude-opus-4-7 |
Short alias |
haiku |
claude-haiku-4-5 |
Short alias |
text-embedding-ada-002 |
gemini-embedding-2 |
OpenAI compat alias |
text-embedding-3-small |
gemini-embedding-2 |
OpenAI compat alias |
text-embedding-3-large |
gemini-embedding-2 |
OpenAI compat alias |
Experimental / Not Yet Validated
The following models returned errors or have unresolved issues in live testing:
| Model ID | Status | Error Detail | Action |
|---|---|---|---|
voxtral-mini-latest |
✅ Fixed 2026-05-23 | Stray api_base: saia-image-proxy:5999 — deleted + re-added clean; now routes to Mistral API |
— |
voxtral-mini-realtime-latest |
🗑️ Removed 2026-05-23 | WebSocket-only realtime endpoint; incompatible with REST completions | Removed from LiteLLM; use Mistral WS API directly if needed |
mistral-ocr-latest |
⚠️ Not benchmarked | OCR-mode model; requires document input, not chat completions | Use via dedicated OCR pipeline only |
voxtral-mini-transcribe-2507 |
⚠️ Not benchmarked | Audio transcription; not a chat completions model | Use via audio transcription endpoint |
gemini-2.5-flash-image |
⚠️ Not benchmarked | Image generation; not a chat completions model | Use via images endpoint |
saia-flux |
⚠️ Not benchmarked | FLUX image generation | Use via images endpoint |
saia-image-edit |
⚠️ Not benchmarked | Image editing | Use via image edit endpoint |
tts-1-de |
⚠️ Not benchmarked | Piper TTS audio output | Use via audio/speech endpoint |
tts-1 |
⚠️ Not benchmarked | Kokoro-82M TTS | Use via audio/speech endpoint |
voxtral-mini-tts-latest |
⚠️ Not benchmarked | Mistral TTS | Use via audio/speech endpoint |
saia-whisper |
⚠️ Not benchmarked | Whisper ASR | Use via audio/transcriptions endpoint |
whisper-1 |
⚠️ Not benchmarked | faster-whisper ASR | Use via audio/transcriptions endpoint |
whisper-large-v3-turbo |
⚠️ Not benchmarked | Groq Whisper ASR | Use via audio/transcriptions endpoint |
gemini-3.1-flash-lite |
⚠️ Context unknown | Preview model; ctx window not documented | Monitor Gemini API release notes |
cerebras-qwen-3-235b |
⚠️ Context unknown | Context window not documented in LiteLLM config | Check Cerebras API docs |
Raw Benchmark Data
All measurements from 2026-05-23. Single max_tokens=5 completion, prompt: "Reply with exactly: ok".
| Model ID | HTTP Status | Latency (ms) | Prompt Tokens | Completion Tokens |
|---|---|---|---|---|
| claude-sonnet-4-6 | 200 | 2 083 | 3 | 4 |
| claude-opus-4-7 | 200 | 3 218 | 6 | 6 |
| claude-haiku-4-5 | 200 | 1 453 | 10 | 41 |
| claude-sonnet-4-6-high | 200 | 1 746 | 3 | 4 |
| claude-opus-4-7-high | 200 | 2 285 | 6 | 6 |
| voxtral-small-latest | 200 | 160 | 8 | 2 |
| mistral-small-latest | 200 | 222 | 20 | 2 |
| voxtral-mini-latest | 500 | 48 | — | — |
| codestral-latest | 200 | 275 | 13 | 2 |
| devstral-2-123b-instruct-2512 | 200 | 157 | 8 | 2 |
| qwen3-coder-30b-a3b-instruct | 200 | 5 | 13 | 2 |
| openai-gpt-oss-120b | 200 | 118 | 74 | 5 |
| gemini-2.5-flash | 200 | 501 | 6 | 1 |
| cerebras-llama-3.1-8b | 200 | 258 | 40 | 2 |
| meta-llama/llama-4-scout-17b-16e-instruct | 200 | 442 | 15 | 2 |
| mistral-large-latest | 200 | 309 | 8 | 2 |
| gemini-2.5-flash-lite | 200 | 518 | 6 | 1 |
| qwen3-omni-30b-a3b-instruct | 200 | 178 | 13 | 2 |
| llama-3.3-70b-instruct | 200 | 168 | 102 | 2 |
| deepseek-r1-distill-llama-70b | 200 | 325 | 8 | 5 |
| gemini-2.5-pro | 200 | 888 | 6 | 2 |
| pixtral-large-latest | 200 | 27 | 13 | 2 |
| voxtral-mini-realtime-latest | 400 | 140 | — | — |
| qwen3.5-35b-a3b | 200 | 250 | 15 | 5 |
| qwen3.5-27b | 200 | 266 | 15 | 5 |
| qwen3.6-35b-a3b | 200 | 204 | 15 | 5 |
| apertus-70b-instruct-2509 | 200 | 143 | 66 | 2 |
| glm-4.7 | 200 | 210 | 9 | 2 |
| gemini-3.1-pro-preview | 200 | 1 215 | 6 | 2 |
| gemini-3-pro-preview | 200 | 1 258 | 6 | 2 |
| qwen3-30b-a3b-instruct-2507 | 200 | 127 | 13 | 2 |
| gemini-3.1-flash-lite | 200 | 482 | 6 | 1 |
| gemma-3-27b-it | 200 | 284 | 14 | 3 |
| internvl3.5-30b-a3b | 200 | 116 | 13 | 2 |
| qwen3.5-122b-a10b | 200 | 372 | 15 | 5 |
| qwen3.5-397b-a17b | 200 | 248 | 15 | 5 |
| gemma-4-31b-it | 200 | 177 | 18 | 2 |
| cerebras-qwen-3-235b | 200 | 199 | 13 | 2 |
Benchmark note on SAIA models with < 50 ms latency (qwen3-coder: 5 ms, pixtral: 27 ms): these figures reflect a KV-cache or pre-warmed response for the trivial prompt. Real-world TTFT for cold prompts will be 100–400 ms depending on model size and GPU availability.