Grok 4.20.0309 Reasoning
xAIChat2M context· released 2026-03-09Floating alias
xai/grok-4.20-0309-reasoningPrices as of 2026-07-14 · rev 179affb· unknown is shown as unknown, never $0.00
Capability fingerprint
independent benchmarks, grouped by domain · higher is better · not our measurementReasoning
Mathematics
Factuality
peer median · percentile ranks this model among distinct comparable models (deduped — one entry per model, not per provider) scored on that benchmark · exact model / family proxy per row.
Source: Epoch AI — “AI Benchmarking Hub” (epoch.ai), CC-BY (Epoch AI). Some rows carry an upstream leaderboard (shown per row); Aider & Terminal-Bench are additionally Apache-2.0. Each benchmark measures a different thing on a different scale — rows are not comparable across domains, and a score is not a guarantee of quality on your task.
Cost vs quality
where Grok 4.20.0309 Reasoning sits among GPQA-scored modelsEach dot is a model with a GPQA Diamond score, priced at a 1K-in / 500-out request; Grok 4.20.0309 Reasoning is highlighted. The shaded corner holds models that are both cheaper and higher-scoring; the dashed staircase is the value frontier. Hover any dot for its model.
5 cheaper models match or beat Grok 4.20.0309 Reasoning on GPQA— see the full table below, switchable by benchmark.
Also worth considering
cheaper models that score about as well — pick the benchmark that matters to you8 cheaper models score within 3 points of Grok 4.20.0309 Reasoning on GPQA Diamond.
| Model | GPQA Diamond | Cost / req | Savings |
|---|---|---|---|
| Deepseek V4 Pro | 86%+0 | $0.00087 | −83% |
| Qwen3.6 Plus | 83%-3 | $0.0013 | −74% |
| Glm 5 | 84%-2 | $0.00208 | −58% |
| Kimi K2p5 | 83%-2 | $0.0021 | −58% |
| Grok 4.3 | 85%-1 | $0.0025 | −50% |
| Grok 4.3 Latest | 85%-1 | $0.0025 | −50% |
| Kimi K2.6 | 88%+2 | $0.00295 | −41% |
| Kimi K2.7 Code | 86%+0 | $0.00295 | −41% |
Deduped to one entry per model (cheapest offering), priced at the reference 1K-in / 500-out request. Filtered only on the benchmark score — a model with an unknown capability is never silently excluded. A lower price is only cheaper if quality holds on your task — that's what routing proves.
Pricing
| Input · fresh prompt tokens | $2.00 / M⚠ 2 sources differ |
|---|---|
| Output · generated tokens | $6.00 / M⚠ 2 sources differ |
| Cache read · cached-input hit | $0.20 / M |
| Cache write · cache creation | unknown |
| Reasoning · thinking tokens | unknown |
Reasoning tokens: no separate rate is published. Providers typically bill thinking tokens at the output rate ($6.00 / M) — which is what the estimator assumes, so an extended-thinking workload isn't silently undercounted.
Model info
- Provider
- xAI
- Catalog key
- xai/xai/grok-4.20-0309-reasoning
- Identifier
- Floating alias (may re-point over time)
- Type
- Chat
- Max input
- 2,000,000 tokens
- Max output
- 2,000,000 tokens
- Released
- 2026-03-09
- Knowledge cutoff
- unknown
- Weights
- Proprietary
- Price snapshot
- 2026-07-14 · rev 179affb
Pricing from TokenTriage's resolved price artifact (TokenTriage resolved price artifact (internal/pricing/data/prices.json)); capability + model metadata is third-party (LiteLLM model_prices_and_context_window.json, models.dev). Unknown means unstated, not absent.
Capabilities
4 documented as supportedInput & output
API behaviour
Agents & tools
✓ supported ·✕ not supported ·? not documented ·⚠ sources disagree. A models.dev tag means the LiteLLM catalog was silent and an independent source supplied the value (lower confidence); ? is never silently turned into a confident ✕.
Estimate a request
disjoint token buckets · input = fresh (uncached) tokensHow output length drives the bill
at a 1K-token prompt · cost scales linearly with outputOutput tokens overtake input spend at ~333 tokens for this model — past that, generation is your bill, whatever the headline input price says. Computed by the same cost engine as the estimate above.
Route to Grok 4.20.0309 Reasoning
OpenAI-compatible · one base URLcurl https://YOUR-TOKENTRIAGE-HOST/v1/chat/completions \ -H "Authorization: Bearer $TOKENTRIAGE_KEY" \ -H "Content-Type: application/json" \ -d '{ "model": "xai/xai/grok-4.20-0309-reasoning", "messages": [{"role": "user", "content": "Hello"}] }'from openai import OpenAI client = OpenAI( base_url="https://YOUR-TOKENTRIAGE-HOST/v1", api_key="YOUR_TOKENTRIAGE_KEY", ) resp = client.chat.completions.create( model="xai/xai/grok-4.20-0309-reasoning", messages=[{"role": "user", "content": "Hello"}], ) print(resp.choices[0].message.content)
Point your existing OpenAI client at your TokenTriage host and pass the catalog key as the model. TokenTriage attributes the real cost per request and can route to a cheaper model once it's proven just as good on your traffic.
Data & API
machine-readable · rev 179affbPull this model's pricing, capabilities, benchmarks and cross-source provenance programmatically — every field carries the snapshot rev, and unknown is null, never 0. Free to reuse with attribution: benchmarks & Capabilities Index © Epoch AI (CC-BY (Epoch AI)); human-preference Elo © LMArena (CC-BY-4.0); capability & price cross-check via models.dev v2 (MIT) · Portkey (MIT) · TrueFoundry (MIT); open-weights facts via Hugging Face (per-repo license).
A price is a guess until it meets your traffic.
This page tells you what Grok 4.20.0309 Reasoning charges per token. TokenTriage tells you what it costs on your real requests — and cuts the bill only after proving a cheaper model is just as good.