Coding
Like-for-like- Claude Haiku 4.5
- 73.3
- Grok Code Fast 1
- 70.8
- Weighted basis
- 1 vs 1 rows
- Reading
- Claude Haiku 4.5 leads
Claude Haiku 4.5 vs Grok Code Fast 1
Updated September 3, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.
Decision reading
Claude Haiku 4.5 has the higher public score, 57.72 versus 37.81, and the 90% score intervals do not overlap.
1 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.
Coding work
Code generation, repair, and software-engineering tasks
Claude Haiku 4.5
Claude Haiku 4.5 leads on the same 1 weighted benchmark row.
Confidence: limited
Long documents
Prompts that approach the documented context limit
Grok Code Fast 1
Grok Code Fast 1 has the larger documented context window.
Confidence: documented
Chat turn cost
1K fresh input + 500 output tokens
Grok Code Fast 1
Grok Code Fast 1 has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.
Confidence: listed-rates
Show secondary and unsupported calls
Repository review cost
50K fresh input + 3K output tokens
Grok Code Fast 1
Grok Code Fast 1 has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.
Confidence: listed-rates
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
Cache-heavy agent loop cost
200K cached + 20K fresh input + 10K output tokens
Not enough matched evidence
The page does not recommend a cost winner because at least one model cannot fit the stated workload in one request. Claude Haiku 4.5 does not fit this workload in one request. Grok Code Fast 1 has no published cached-input rate, so cached tokens use its listed input rate.
Confidence: rate-fallback
What is actually comparable
Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.
4 Claude Haiku 4.5 only
1 Shared
- Shared results
- 1
- Claude Haiku 4.5 only
- 4
- Grok Code Fast 1 only
- 0
- Like-for-like categories
- 1 / 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.
Agentic
Not comparable- Claude Haiku 4.5
- Not measured
- Grok Code Fast 1
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Reasoning
Not comparable- Claude Haiku 4.5
- Not measured
- Grok Code Fast 1
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Knowledge
Not comparable- Claude Haiku 4.5
- Not measured
- Grok Code Fast 1
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Math
Not comparable- Claude Haiku 4.5
- 4.9
- Grok Code Fast 1
- Not measured
- Weighted basis
- 2 vs 0 rows
- Reading
- Not comparable
Multilingual
Not comparable- Claude Haiku 4.5
- Not measured
- Grok Code Fast 1
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Multimodal
Not comparable- Claude Haiku 4.5
- Not measured
- Grok Code Fast 1
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Instruction following
Not comparable- Claude Haiku 4.5
- Not measured
- Grok Code Fast 1
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
| Category | Claude Haiku 4.5 | Grok Code Fast 1 | Weighted basis | Reading |
|---|---|---|---|---|
| Coding | 73.3 | 70.8 | Like-for-like1 vs 1 rows | Claude Haiku 4.5 leads |
| Agentic | Not measured | Not measured | Not comparable0 vs 0 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 | 4.9 | Not measured | Not comparable2 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.
Too few matched category axes support a radar. The ruled list below shows only shared benchmark results; positions use each benchmark’s normalized display scale when available.
SWE-bench Verified
Coding
Claude Haiku 4.5: 73.3%Grok Code Fast 1: 70.8%Normalized gap 2.5Claude Haiku 4.5 source Grok Code Fast 1 source
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
- Claude Haiku 4.5
- $0.0035
- Fits in one request
- Grok Code Fast 1
- $0.00095
- Fits in one request
Grok Code Fast 1 has the lower modeled cost
Costs use the listed standard API rates.
Repository review
50K fresh input + 3K output tokens
- Claude Haiku 4.5
- $0.065
- Fits in one request
- Grok Code Fast 1
- $0.0145
- Fits in one request
Grok Code Fast 1 has the lower modeled cost
Costs use the listed standard API rates.
Cache-heavy agent loop
200K cached + 20K fresh input + 10K output tokens
- Claude Haiku 4.5
- $0.09
- Does not fit in one request
- Grok Code Fast 1
- $0.059
- Fits in one request
- Cached input priced at the published list-input rate
Claude Haiku 4.5 does not fit this workload in one request. Grok Code Fast 1 has no published cached-input rate, so cached tokens use its listed input rate.
Specification differences
Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.
SpecificationClaude Haiku 4.5Grok Code Fast 1
Context window
Maximum documented context; output-token limits may be lower.
Claude Haiku 4.5
Grok Code Fast 1
256K
API model ID
Claude Haiku 4.5
claude-haiku-4-5-20251001
Claude API pricingGrok 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.
Claude Haiku 4.5
$0.1 per 1M cached input tokens
Claude API pricingGrok Code Fast 1
Not published
Documented inputs
Claude Haiku 4.5
Not sourced
Grok Code Fast 1
Not sourced
Documented outputs
Claude Haiku 4.5
Not sourced
Grok Code Fast 1
Not sourced
Provider availability
Claude Haiku 4.5
Not sourced
Grok Code Fast 1
Not sourced
Reasoning profile
Claude Haiku 4.5
Non-Reasoning
Grok Code Fast 1
Non-Reasoning
Weight access
Claude Haiku 4.5
Proprietary
Grok Code Fast 1
Proprietary
License
Claude Haiku 4.5
Proprietary
Grok Code Fast 1
Proprietary
Release date
Claude Haiku 4.5
2025-10-15
Grok Code Fast 1
2025-08-28
If you already use one of these models
- Deployment change
- The models list different providers, so authentication, endpoint behavior, limits, and feature support may change.
- Quality signal
- Claude Haiku 4.5 has the higher public score, 57.72 versus 37.81, and the 90% score intervals do not overlap.
- Workload cost
- Repository review: $0.065 vs $0.0145. Cache-heavy agent loop: $0.09 vs $0.059.
- Context tradeoff
- Grok Code Fast 1 has the larger documented window (256K).
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 evidence5 rows
Frequently asked questions
Which is better, Claude Haiku 4.5 or Grok Code Fast 1?
Claude Haiku 4.5 has the higher public score, 57.72 versus 37.81, and the 90% score intervals do not overlap. That is the clearest overall quality signal in the current public data.
Which is better for coding, Claude Haiku 4.5 or Grok Code Fast 1?
Claude Haiku 4.5 leads the like-for-like coding comparison across 1 shared weighted benchmark row.
Which is better for agentic tasks, Claude Haiku 4.5 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, Claude Haiku 4.5 or Grok Code Fast 1?
For the stated presets, chat costs $0.0035 on Claude Haiku 4.5 and $0.00095 on Grok Code Fast 1; repository review costs $0.065 and $0.0145; the cache-heavy agent loop costs $0.09 and $0.059. Claude Haiku 4.5 does not fit this workload in one request. Grok Code Fast 1 has no published cached-input rate, so cached tokens use its listed input rate.
Which has the larger context window, Claude Haiku 4.5 or Grok Code Fast 1?
Grok Code Fast 1 has the larger documented context window: 256K, compared with 200K.
Related comparisons
Last updated September 3, 2026
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