Coding
Directional only- Grok Code Fast 1
- 70.8
- Inkling-Small
- 62.4
- Weighted basis
- 1 vs 3 rows
- Reading
- Directional only
Model comparison
Updated July 30, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.
At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner.
1 results are shared. Category rows based on different benchmark sets are marked directional and do not name a winner.
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.
Prompts that approach the documented context limit
Inkling-Small
Inkling-Small has the larger documented context window.
Confidence: documented
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
200K cached + 20K fresh input + 10K output tokens
Inkling-Small
Inkling-Small has the lower estimated token cost for this stated workload. Grok Code Fast 1 has no published cached-input rate, so cached tokens use its listed input rate.
Confidence: rate-fallback
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
Code generation, repair, and software-engineering tasks
Not enough matched evidence
The category averages use different weighted benchmark sets, so they are directional rather than like-for-like.
Confidence: limited
Tool use, computer use, and multi-step task completion
Not enough matched evidence
No shared weighted benchmark basis supports a winner.
Confidence: limited
Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.
1 category uses different evidence sets. Those rows remain visible for coverage context but do not name a winner.
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.
| Category | Grok Code Fast 1 | Inkling-Small | Weighted basis | Reading |
|---|---|---|---|---|
| Coding | 70.8 | 62.4 | Directional only1 vs 3 rows | Directional only |
| Agentic | Not measured | 70.1 | Not comparable0 vs 2 rows | Not comparable |
| Reasoning | Not measured | 40.1 | Not comparable0 vs 1 rows | Not comparable |
| Knowledge | Not measured | 53.4 | Not comparable0 vs 2 rows | Not comparable |
| Math | Not measured | 92.9 | Not comparable0 vs 2 rows | Not comparable |
| Multilingual | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Multimodal | Not measured | 76.6 | Not comparable0 vs 2 rows | Not comparable |
| Instruction following | Not measured | 82.2 | Not comparable0 vs 1 rows | Not comparable |
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
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.
1K fresh input + 500 output tokens
Grok Code Fast 1 has the lower modeled cost
Costs use the listed standard API rates.
50K fresh input + 3K output tokens
Grok Code Fast 1 has the lower modeled cost
Costs use the listed standard API rates.
200K cached + 20K fresh input + 10K output tokens
Inkling-Small has the lower modeled cost
Grok Code Fast 1 has no published cached-input rate, so cached tokens use its listed input rate.
Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.
Maximum documented context; output-token limits may be lower.
Grok Code Fast 1
256K
Inkling-Small
1M
Grok Code Fast 1
Not sourced
Inkling-Small
Not sourced
A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
Grok Code Fast 1
Not published
Inkling-Small
$0.116 per 1M cached input tokens
Grok Code Fast 1
Not sourced
Inkling-Small
Not sourced
Grok Code Fast 1
Not sourced
Inkling-Small
Not sourced
Grok Code Fast 1
Not sourced
Inkling-Small
Not sourced
Grok Code Fast 1
Non-Reasoning
Inkling-Small
Hybrid
Grok Code Fast 1
Proprietary
Inkling-Small
Open Weight
Grok Code Fast 1
Proprietary
Inkling-Small
Open Weight
Grok Code Fast 1
2025-08-28
Inkling-Small
2026-07-30
Run the same representative tasks against both endpoints before changing production traffic.
The full public result ledger is available for audit without forcing a wide desktop table onto a phone.
Terminal-Bench 2.0
Not directly comparable
BrowseComp
Not directly comparable
MCP Atlas
Not directly comparable
Toolathlon-Verified
Not directly comparable
SWE-bench Verified
Inkling-Small leads this result
SWE-bench Pro
Not directly comparable
Terminal-Bench 2.0
Not directly comparable
SciCode
Not directly comparable
IFBench
Not directly comparable
At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner. The page therefore keeps the decision tied to the specific documented workload.
The current coding averages use different weighted benchmark sets, so BenchLM does not name a winner from them. Read the shared benchmark rows directly and test the models on the same task set.
The published evidence does not provide a shared weighted agentic tasks basis for both models, so BenchLM does not name a agentic tasks winner.
For the stated presets, chat costs $0.00095 on Grok Code Fast 1 and $0.0013 on Inkling-Small; repository review costs $0.0145 and $0.03332; the cache-heavy agent loop costs $0.059 and $0.0492. Grok Code Fast 1 has no published cached-input rate, so cached tokens use its listed input rate.
Inkling-Small has the larger documented context window: 1M, compared with 256K.
Last updated July 30, 2026
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