Gigachat 2 Max

GigaChat chat

Gigachat 2 Max is a GigaChat chat model.It supports a 128,000-token context windowwith up to 8,192 output tokens. Capabilities include function calling, vision. Route Gigachat 2 Max via Future AGI's Agent Command Center for unified observability, caching, and 15 routing strategies including cost-optimized fallback.

Pricing source: unknown Last verified: May 12, 2026 View source ↗
Pricing not yet public

We don't have verified per-token pricing for Gigachat 2 Max yet. If you have a source from GigaChat's documentation, help us add it — your submission gets reviewed within 48 hours.

Pricing

Per-token rates, expressed in USD per 1M tokens. Verified May 12, 2026.

Input
Output

Limits

Context window
128,000 tokens
Max input
128,000 tokens
Max output
8,192 tokens
Modalities
vision, text

Capabilities

  • Function calling ✓ supported
  • Parallel tool calls — not advertised
  • Vision input ✓ supported
  • Audio input — not advertised
  • Audio output — not advertised
  • PDF input — not advertised
  • Streaming ✓ supported
  • Structured output — not advertised
  • Prompt caching — not advertised
  • Reasoning — not advertised

Where it's strong

  • +agentic workflows that depend on reliable tool calls
  • +document, chart, and screenshot understanding

Watch out for

  • !strict structured output — no JSON-schema enforcement, expect retry loops

Benchmarks pending

We haven't logged public benchmark scores for Gigachat 2 Max yet. Have one to contribute? Submit a source — citations help us prioritise.

Try it

Call Gigachat 2 Max via Agent Command Center

One OpenAI-compatible endpoint. Routing, fallback, semantic caching, guardrails, and cost tracking come along for the ride. First 100K requests + 100K cache hits free every month.

SDK
Native Future AGI client (agentcc / @agentcc/client). Per-call metadata — provider, cost, latency, cache hit, request id — is returned on x-agentcc-* response headers, so any HTTP client can read it.
# Gigachat 2 Max via the Agent Command Center Python SDK
# pip install agentcc
import os
from agentcc import AgentCC

client = AgentCC(
    api_key=os.environ["AGENTCC_API_KEY"],   # from app.futureagi.com → Settings → API Keys
    base_url="https://gateway.futureagi.com/v1",
)

resp = client.chat.completions.create(
    model="gigachat/gigachat-2-max",
    messages=[{"role": "user", "content": "Hello, Gigachat 2 Max!"}],
)

print(resp.choices[0].message.content)
print(f"Tokens: {resp.usage.total_tokens}")

# Per-call gateway metadata is returned on x-agentcc-* response headers.
# When you need it programmatically, use .with_raw_response to get them:
raw = client.chat.completions.with_raw_response.create(
    model="gigachat/gigachat-2-max",
    messages=[{"role": "user", "content": "Same call, but I want the headers."}],
)
print("Provider:", raw.headers.get("x-agentcc-provider"))
print("Latency:", raw.headers.get("x-agentcc-latency-ms"), "ms")
print("Cost:   ", raw.headers.get("x-agentcc-cost"), "USD")
print("Cache:  ", raw.headers.get("x-agentcc-cache"))
Set AGENTCC_API_KEY with a key fromapp.futureagi.com.Gateway docs ↗

FAQ

How much does Gigachat 2 Max cost?

Public per-token pricing for Gigachat 2 Max is not yet published. Submit a source on this page to help us add it.

What is the context window of Gigachat 2 Max?

Gigachat 2 Max supports a 128,000-token context window with up to 8,192 output tokens.

Does Gigachat 2 Max support function calling?

Yes — Gigachat 2 Max supports function (tool) calling.

Is Gigachat 2 Max good for production?

Gigachat 2 Max is well-suited for agentic workflows that depend on reliable tool calls and document, chart, and screenshot understanding. Consider alternatives if you need strict structured output — no JSON-schema enforcement, expect retry loops.

How can I route to Gigachat 2 Max with fallback?

Use Agent Command Center: a single OpenAI-compatible endpoint that supports cost-optimized routing, latency-aware retries, model fallback, and shadow traffic. Configure once, swap models without app changes.

Useful links for Gigachat 2 Max

Official sources, independent benchmarks, and pricing aggregators — no random search-engine guesses.