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CogVLM2 19B vs Depth Anything v2: Which AI Model Should You Choose?

Pricing, context windows, latency, capabilities, and a one-line code switch — everything you need to pick the right model.

Replicate
Multimodal
vs
Replicate
Multimodal
Verdict

CogVLM2 19B and Depth Anything v2 are closely matched on pricing and context. The right choice depends on your specific workload — see the table below for the full breakdown.

Side-by-side specs

SpecCogVLM2 19BDepth Anything v2
ProviderReplicateReplicate
CategoryMultimodalMultimodal
Input cost / 1M tokensn/an/a
Output cost / 1M tokensn/an/a
Context window8K tokens—
Max output tokens2,048—
Avg. latency——
Featured—Yes
New——
Capabilities
text
image
image

Pricing example

A typical chat workload of 100,000 input tokens plus 50,000 output tokens.

CogVLM2 19B
n/a

100K in × n/a + 50K out × n/a

Depth Anything v2
n/a

100K in × n/a + 50K out × n/a

Switch in one line

Both models live behind Railwail's OpenAI-compatible endpoint. Replace the model string and you are done.

JavaScript / TypeScript
import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.RAILWAIL_API_KEY,
  baseURL: "https://railwail.com/v1",
});

// Before — using CogVLM2 19B
let r = await client.chat.completions.create({
  model: "chenxwh/cogvlm2",
  messages: [{ role: "user", content: "Hello" }],
});

// After — switched to Depth Anything v2
r = await client.chat.completions.create({
  model: "chenxwh/depth-anything-v2",
  messages: [{ role: "user", content: "Hello" }],
});
Python
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["RAILWAIL_API_KEY"],
    base_url="https://railwail.com/v1",
)

# Before — using CogVLM2 19B
r = client.chat.completions.create(
    model="chenxwh/cogvlm2",
    messages=[{"role": "user", "content": "Hello"}],
)

# After — switched to Depth Anything v2
r = client.chat.completions.create(
    model="chenxwh/depth-anything-v2",
    messages=[{"role": "user", "content": "Hello"}],
)
cURL
# Before — using CogVLM2 19B
curl https://railwail.com/v1/chat/completions \
  -H "Authorization: Bearer $RAILWAIL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "chenxwh/cogvlm2",
    "messages": [{"role": "user", "content": "Hello"}]
  }'

# After — switched to Depth Anything v2
curl https://railwail.com/v1/chat/completions \
  -H "Authorization: Bearer $RAILWAIL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "chenxwh/depth-anything-v2",
    "messages": [{"role": "user", "content": "Hello"}]
  }'

Which one wins for...

Quick verdicts derived from public specs. Always validate on your own workload.

Coding
CogVLM2 19B

Higher coding category match or larger context wins.

Writing
CogVLM2 19B

Bigger context window helps maintain long-form coherence.

Long documents
CogVLM2 19B

The larger context window is the deciding factor.

Vision
Tie

Multimodal/vision support is required for image inputs.

Real-time chat
Tie

Lower average latency wins for interactive UX.

Cost-sensitive
Tie

The model with the lower input-token price wins.

Frequently asked questions

Which is cheaper, CogVLM2 19B or Depth Anything v2?
CogVLM2 19B and Depth Anything v2 cannot be compared on per-token price: at least one of them has no per-token price listed (it is priced per run or not yet priced). See each model page for its current price.
Which has more context, CogVLM2 19B or Depth Anything v2?
CogVLM2 19B has the larger context window at 8K tokens, compared to — for Depth Anything v2.
Is CogVLM2 19B better than Depth Anything v2 for coding?
For coding-heavy workloads we lean toward CogVLM2 19B on this comparison — it scores higher on the relevant heuristics (category, tags, or context window). Both models are usable for code via Railwail's OpenAI-compatible endpoint, so the safest path is to A/B test on your own prompts.
Can I use both CogVLM2 19B and Depth Anything v2 via Railwail?
Yes. Both CogVLM2 19B and Depth Anything v2 are accessible through a single Railwail API key and the OpenAI-compatible /v1/chat/completions endpoint. You only change the "model" parameter to switch between them — no SDK swap, no separate billing.
How do I switch from CogVLM2 19B to Depth Anything v2?
Replace the model identifier "chenxwh/cogvlm2" with "chenxwh/depth-anything-v2" in your request payload. Everything else — API key, base URL, request shape — stays the same. See the code example on this page for the exact one-line change.

Try CogVLM2 19B and Depth Anything v2 side by side

One API key, one endpoint, both models. Start free — no credit card required.

Get Started FreeView CogVLM2 19BView Depth Anything v2