Agentic
Not comparable- Gemini 2.5 Flash
- Not measured
- Inkling-Small
- 70.1
- Weighted basis
- 0 vs 2 rows
- Reading
- Not comparable
Model comparison
Updated July 30, 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.
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.
1K fresh input + 500 output tokens
Inkling-Small
Inkling-Small 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
Gemini 2.5 Flash
Gemini 2.5 Flash has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.
Confidence: listed-rates
50K fresh input + 3K output tokens
Gemini 2.5 Flash
Gemini 2.5 Flash 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
No shared weighted benchmark basis supports a winner.
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
Prompts that approach the documented context limit
No clear pick
The documented context windows are equal.
Confidence: documented
Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.
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 | Gemini 2.5 Flash | Inkling-Small | Weighted basis | Reading |
|---|---|---|---|---|
| Agentic | Not measured | 70.1 | Not comparable0 vs 2 rows | Not comparable |
| Coding | Not measured | 62.4 | Not comparable0 vs 3 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 | 4.7 | 92.9 | Not comparable2 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.
A shared-evidence shape is not available.
BenchLM does not draw a radar or infer missing axes when the matched evidence is too sparse.
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
Inkling-Small has the lower modeled cost
Costs use the listed standard API rates.
50K fresh input + 3K output tokens
Gemini 2.5 Flash has the lower modeled cost
Costs use the listed standard API rates.
200K cached + 20K fresh input + 10K output tokens
Gemini 2.5 Flash has the lower modeled cost
Costs use the listed standard API rates.
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.
Gemini 2.5 Flash
Inkling-Small
1M
Gemini 2.5 Flash
gemini-2.5-flash
Google Gemini API pricingInkling-Small
Not sourced
A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
Gemini 2.5 Flash
$0.03 per 1M cached input tokens
Google Gemini API pricingInkling-Small
$0.116 per 1M cached input tokens
Gemini 2.5 Flash
Not sourced
Inkling-Small
Not sourced
Gemini 2.5 Flash
Not sourced
Inkling-Small
Not sourced
Gemini 2.5 Flash
Not sourced
Inkling-Small
Not sourced
Gemini 2.5 Flash
Non-Reasoning
Inkling-Small
Hybrid
Gemini 2.5 Flash
Proprietary
Inkling-Small
Open Weight
Gemini 2.5 Flash
Proprietary
Inkling-Small
Open Weight
Gemini 2.5 Flash
2025-06-17
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
Not directly comparable
SWE-bench Pro
Not directly comparable
Terminal-Bench 2.0
Not directly comparable
SciCode
Not directly comparable
FrontierMath v2 (Tiers 1-3)
Not directly comparable
FrontierMath v2 (Tier 4)
Not directly comparable
AIME26
Not directly comparable
HMMT Feb 2026
Not directly comparable
IFBench
Not directly comparable
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.
The published evidence does not provide a shared weighted coding basis for both models, so BenchLM does not name a coding winner.
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 $0.00155 on Gemini 2.5 Flash and $0.0013 on Inkling-Small; repository review costs $0.0225 and $0.03332; the cache-heavy agent loop costs $0.037 and $0.0492. Costs use the listed standard API rates.
Both models list the same context window, 1M.
Last updated July 30, 2026
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