Agentic
Not comparable- Grok 4.20 Multi-agent
- Not measured
- Grok Code Fast 1
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Model comparison
Grok 4.20 Multi-agent vs Grok Code Fast 1
Updated July 28, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.
The public evidence has no benchmark result shared by both models, so it does not support a quality verdict. Use the documented cost, context, and runtime rows instead.
0 results are shared. Category rows based on different benchmark sets are marked directional and do not name a winner.
Which one for your work
Recommendations appear only when a shared evidence basis or an explicit operating constraint supports the call. Secondary and unsupported use cases stay disclosed below the initial list.
Long documents
Prompts that approach the documented context limit
Grok 4.20 Multi-agent
Grok 4.20 Multi-agent has the larger documented context window.
Confidence: documented
Show secondary and unsupported calls
Coding work
Code generation, repair, and software-engineering tasks
Not enough matched evidence
No shared weighted benchmark basis supports a winner.
Confidence: limited
Agentic work
Tool use, computer use, and multi-step task completion
Not enough matched evidence
No shared weighted benchmark basis supports a winner.
Confidence: limited
Chat turn cost
1K fresh input + 500 output tokens
Not enough matched evidence
A complete comparable API-rate estimate is not available for both models.
Confidence: listed-rates
Cache-heavy agent loop cost
200K cached + 20K fresh input + 10K output tokens
Not enough matched evidence
A complete comparable API-rate estimate is not available for both models.
Confidence: rate-fallback
Repository review cost
50K fresh input + 3K output tokens
Not enough matched evidence
A complete comparable API-rate estimate is not available for both models.
Confidence: listed-rates
What is actually comparable
Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.
1 Grok Code Fast 1 only
- Shared results
- 0
- Grok 4.20 Multi-agent only
- 0
- Grok Code Fast 1 only
- 1
- Like-for-like categories
- 0 / 8
Category results, on a stated basis
Each row states whether both averages use the same weighted benchmark set. Directional and not-comparable rows remain visible, but they never receive a winner in this template.
Coding
Not comparable- Grok 4.20 Multi-agent
- Not measured
- Grok Code Fast 1
- 70.8
- Weighted basis
- 0 vs 1 rows
- Reading
- Not comparable
Reasoning
Not comparable- Grok 4.20 Multi-agent
- Not measured
- Grok Code Fast 1
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Knowledge
Not comparable- Grok 4.20 Multi-agent
- Not measured
- Grok Code Fast 1
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Math
Not comparable- Grok 4.20 Multi-agent
- Not measured
- Grok Code Fast 1
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Multilingual
Not comparable- Grok 4.20 Multi-agent
- Not measured
- Grok Code Fast 1
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Multimodal
Not comparable- Grok 4.20 Multi-agent
- Not measured
- Grok Code Fast 1
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Instruction following
Not comparable- Grok 4.20 Multi-agent
- Not measured
- Grok Code Fast 1
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
| Category | Grok 4.20 Multi-agent | Grok Code Fast 1 | Weighted basis | Reading |
|---|---|---|---|---|
| Agentic | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Coding | Not measured | 70.8 | Not comparable0 vs 1 rows | Not comparable |
| Reasoning | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Knowledge | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Math | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Multilingual | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Multimodal | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Instruction following | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
Shape of the matched evidence
Only shared public evidence is shown. Sparse evidence stays a ruled list rather than being closed into a radar shape.
A shared-evidence shape is not available.
BenchLM does not draw a radar or infer missing axes when the matched evidence is too sparse.
What each workload costs
Three fixed token mixes turn per-token rates into comparable decisions. Each scenario states context fit and whether cached input had to fall back to the published list-input rate.
Chat turn
1K fresh input + 500 output tokens
- Grok 4.20 Multi-agent
- API rate not published
- Fits in one request
- Grok Code Fast 1
- $0.00095
- Fits in one request
Grok 4.20 Multi-agent has no comparable published API token rate.
Repository review
50K fresh input + 3K output tokens
- Grok 4.20 Multi-agent
- API rate not published
- Fits in one request
- Grok Code Fast 1
- $0.0145
- Fits in one request
Grok 4.20 Multi-agent has no comparable published API token rate.
Cache-heavy agent loop
200K cached + 20K fresh input + 10K output tokens
- Grok 4.20 Multi-agent
- API rate not published
- Fits in one request
- Cached-input rate unavailable
- Grok Code Fast 1
- $0.059
- Fits in one request
- Cached input priced at the published list-input rate
Grok Code Fast 1 has no published cached-input rate, so cached tokens use its listed input rate. Grok 4.20 Multi-agent has no comparable published API token rate.
Specification differences
Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.
SpecificationGrok 4.20 Multi-agentGrok Code Fast 1
Context window
Maximum documented context; output-token limits may be lower.
Grok 4.20 Multi-agent
2M
Grok Code Fast 1
256K
API model ID
Grok 4.20 Multi-agent
Not sourced
Grok Code Fast 1
Not sourced
Cached-input rate
A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
Grok 4.20 Multi-agent
No comparable hosted API rate
Grok Code Fast 1
Not published
Documented inputs
Grok 4.20 Multi-agent
Not sourced
Grok Code Fast 1
Not sourced
Documented outputs
Grok 4.20 Multi-agent
Not sourced
Grok Code Fast 1
Not sourced
Provider availability
Grok 4.20 Multi-agent
Not sourced
Grok Code Fast 1
Not sourced
Reasoning profile
Grok 4.20 Multi-agent
Reasoning
Grok Code Fast 1
Non-Reasoning
Weight access
Grok 4.20 Multi-agent
Proprietary
Grok Code Fast 1
Proprietary
License
Grok 4.20 Multi-agent
Proprietary
Grok Code Fast 1
Proprietary
Release date
Grok 4.20 Multi-agent
2026-03-10
Grok Code Fast 1
2025-08-28
If you already use one of these models
- Deployment change
- Both entries list xAI as the provider. Confirm endpoint, model ID, limits, and feature support before switching.
- Quality signal
- The public evidence has no benchmark result shared by both models, so it does not support a quality verdict.
- Workload cost
- A complete comparable API-rate estimate is not available for both models.
- Context tradeoff
- Grok 4.20 Multi-agent has the larger documented window (2M).
Run the same representative tasks against both endpoints before changing production traffic.
Benchmark evidence
The full public result ledger is available for audit without forcing a wide desktop table onto a phone.
Browse raw public benchmark evidence1 rows
Coding
SWE-bench Verified
Grok 4.20 Multi-agent—Grok Code Fast 170.8%SourceNot directly comparable
Frequently asked questions
Which is better, Grok 4.20 Multi-agent or Grok Code Fast 1?
The public evidence has no benchmark result shared by both models, so it does not support a quality verdict. The page therefore keeps the decision tied to the specific documented workload.
Which is better for coding, Grok 4.20 Multi-agent or Grok Code Fast 1?
The published evidence does not provide a shared weighted coding basis for both models, so BenchLM does not name a coding winner.
Which is better for agentic tasks, Grok 4.20 Multi-agent or Grok Code Fast 1?
The published evidence does not provide a shared weighted agentic tasks basis for both models, so BenchLM does not name a agentic tasks winner.
Which costs less, Grok 4.20 Multi-agent or Grok Code Fast 1?
Both models do not have comparable published API token rates, so this page does not name a universal price winner.
Which has the larger context window, Grok 4.20 Multi-agent or Grok Code Fast 1?
Grok 4.20 Multi-agent has the larger documented context window: 2M, compared with 256K.
Related comparisons
Last updated July 28, 2026
Keep the decision current
One weekly note on benchmark changes, pricing moves, and models worth re-testing.