Long documents
Prompts that approach the documented context limit
Gemini 2.5 Flash-Lite
Gemini 2.5 Flash-Lite has the larger documented context window.
Confidence: documented
Gemini 2.5 Flash-Lite vs Kimi K2.5
Updated October 17, 2026. We do not rank this pair: at least one has no public score. Public scores include evidence status and uncertainty.
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Decision reading
At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner. 4 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.
- Shared results
- 4
- Gemini 2.5 Flash-Lite only
- 1
- Kimi K2.5 only
- 64
- Like-for-like categories
- 0 / 8
Supported: Kimi K2.5How the comparison works
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.
Chat turn cost
1K fresh input + 500 output tokens
Gemini 2.5 Flash-Lite
Gemini 2.5 Flash-Lite has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.
Confidence: listed-ratesCache-heavy agent loop cost
200K cached + 20K fresh input + 10K output tokens
Gemini 2.5 Flash-Lite
Gemini 2.5 Flash-Lite has the lower estimated token cost for this stated workload. Kimi K2.5 has no published cached-input rate, so cached tokens use its listed input rate.
Confidence: rate-fallback
Show secondary and unsupported calls
Repository review cost
50K fresh input + 3K output tokens
Gemini 2.5 Flash-Lite
Gemini 2.5 Flash-Lite has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.
Confidence: listed-ratesCoding work
Code generation, repair, and software-engineering tasks
Not enough matched evidence
Gemini 2.5 Flash-Lite is not ranked on the public lane for coding, so no winner is named for coding.
Confidence: limitedAgentic work
Tool use, computer use, and multi-step task completion
Not enough matched evidence
Gemini 2.5 Flash-Lite is not ranked on the public lane for agentic, so no winner is named for agentic.
Confidence: limited
Which one for a specific job
Choose a job from the LLM Selector's task catalog to see the category row it rests on, under the same basis rules as the table below. A directional row stays directional; choosing a job never creates a winner.
The same task catalog as the LLM Selector. Each job names the evidence surface it rests on; nothing here adds a new score.
—Gemini 2.5 Flash-Lite38.5Kimi K2.5
Not comparable · BenchAlign v5.8
The coding row is not comparable on the public lane: at least one model is not measured or not ranked there.
Coding scores combine specific tasks and setups. Match the editor, harness, and effort to your workflow.
Same basis rules as the category table below
What is actually comparable
Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.
1 Gemini 2.5 Flash-Lite only
4 Shared
64 Kimi K2.5 only
1 category rests on Estimated evidence or different evidence sets. Those rows remain visible for coverage context but do not name a winner.
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 VerifiedCoding
Normalized gap 45.2Gemini 2.5 Flash-Lite:31.6%Kimi K2.5:76.8%GPQAKnowledge
Normalized gap 23.0Gemini 2.5 Flash-Lite:64.6%Kimi K2.5:87.6%
Bars run 0–100 on each benchmark’s normalized display scale
Category results, on a stated basis
Each row shows the public-lane category score for both models: the BenchAlign v5.8 lane for agentic, coding, and knowledge, and the weighted public rows elsewhere, with the same rank each model page reports. A row is like-for-like only when both scores rest on Supported evidence or the same weighted set. Directional and not-comparable rows remain visible, but they never receive a winner.
Instruction following
Directional only- Gemini 2.5 Flash-Lite
- 35.3
- #126/148
- Kimi K2.5
- 85.8
- #48/148
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Directional only
Agentic
Not comparable- Gemini 2.5 Flash-Lite
- Not ranked
- Kimi K2.5
- 40.7
- Estimated · #66/128
- Basis
- BenchAlign v5.8 lane · 0 vs 16 public rows
- Reading
- Not comparable
Coding
Not comparable- Gemini 2.5 Flash-Lite
- Not ranked
- Kimi K2.5
- 38.5
- Estimated · #68/150
- Basis
- BenchAlign v5.8 lane · 1 vs 10 public rows
- Reading
- Not comparable
Reasoning
Not comparable- Gemini 2.5 Flash-Lite
- 47.8
- Unranked · 2 rankable rows
- Kimi K2.5
- 72.2
- Unranked · 3 rankable rows
- Basis
- Provisional lane · 0 vs 1 weighted rows
- Reading
- Not comparable
Multimodal
Not comparable- Gemini 2.5 Flash-Lite
- 44.1
- Unranked · 2 rankable rows
- Kimi K2.5
- 70.4
- #32/54
- Basis
- Provisional lane · 0 vs 2 weighted rows
- Reading
- Not comparable
Knowledge
Not comparable- Gemini 2.5 Flash-Lite
- Not ranked
- Kimi K2.5
- 51.4
- Estimated · #75/184
- Basis
- BenchAlign v5.8 lane · 2 vs 8 public rows
- Reading
- Not comparable
Multilingual
Not comparable- Gemini 2.5 Flash-Lite
- Not ranked
- Kimi K2.5
- 87.3
- #8/17
- Basis
- Provisional lane · 0 vs 1 weighted rows
- Reading
- Not comparable
Math
Not comparable- Gemini 2.5 Flash-Lite
- Not ranked
- Kimi K2.5
- 83.3
- Unranked · 7 rankable rows
- Basis
- Provisional lane · 0 vs 2 weighted rows
- Reading
- Not comparable
| Category | Gemini 2.5 Flash-Lite | Kimi K2.5 | Basis | Reading |
|---|---|---|---|---|
| Instruction following | 35.3#126/148 | 85.8#48/148 | Directional onlyProvisional lane · 0 vs 0 weighted rows | Directional only |
| Agentic | Not ranked | 40.7Estimated · #66/128 | Not comparableBenchAlign v5.8 lane · 0 vs 16 public rows | Not comparable |
| Coding | Not ranked | 38.5Estimated · #68/150 | Not comparableBenchAlign v5.8 lane · 1 vs 10 public rows | Not comparable |
| Reasoning | 47.8Unranked · 2 rankable rows | 72.2Unranked · 3 rankable rows | Not comparableProvisional lane · 0 vs 1 weighted rows | Not comparable |
| Multimodal | 44.1Unranked · 2 rankable rows | 70.4#32/54 | Not comparableProvisional lane · 0 vs 2 weighted rows | Not comparable |
| Knowledge | Not ranked | 51.4Estimated · #75/184 | Not comparableBenchAlign v5.8 lane · 2 vs 8 public rows | Not comparable |
| Multilingual | Not ranked | 87.3#8/17 | Not comparableProvisional lane · 0 vs 1 weighted rows | Not comparable |
| Math | Not ranked | 83.3Unranked · 7 rankable rows | Not comparableProvisional lane · 0 vs 2 weighted rows | Not comparable |
Ranks count the models scored in each category’s lane, so the agentic, coding, and knowledge denominators (BenchAlign v5.8) differ from the provisional-lane categories. Unranked scores sit on the provisional lane’s scale but never name a winner. Like-for-like rows within 0.5 points read as a practical tie.
Bars run 0–100Methodology
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
- Gemini 2.5 Flash-Lite
- $0.0003
- Fits in one request
- Kimi K2.5
- $0.0021
- Fits in one request
Gemini 2.5 Flash-Lite has the lower modeled cost
Costs use the listed standard API rates.
Repository review
50K fresh input + 3K output tokens
- Gemini 2.5 Flash-Lite
- $0.0062
- Fits in one request
- Kimi K2.5
- $0.039
- Fits in one request
Gemini 2.5 Flash-Lite has the lower modeled cost
Costs use the listed standard API rates.
Cache-heavy agent loop
200K cached + 20K fresh input + 10K output tokens
- Gemini 2.5 Flash-Lite
- $0.008
- Fits in one request
- Kimi K2.5
- $0.162
- Fits in one request
- Cached input priced at the published list-input rate
Gemini 2.5 Flash-Lite has the lower modeled cost
Kimi K2.5 has no published cached-input rate, so cached tokens use its listed input rate.
Cached input falls back to the list input rate only where a cached rate is unpublished
Specification differences
Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.
SpecificationGemini 2.5 Flash-LiteKimi K2.5
Context window
Maximum documented context; output-token limits may be lower.
Gemini 2.5 Flash-Lite
Kimi K2.5
256K
API model ID
Gemini 2.5 Flash-Lite
gemini-2.5-flash-lite
Google Gemini API pricingKimi K2.5
Not sourced
Cached-input rate
A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
Gemini 2.5 Flash-Lite
$0.01 per 1M cached input tokens
Google Gemini API pricingKimi K2.5
Not published
Documented inputs
Gemini 2.5 Flash-Lite
Not sourced
Kimi K2.5
Not sourced
Documented outputs
Gemini 2.5 Flash-Lite
Not sourced
Kimi K2.5
Not sourced
Provider availability
Gemini 2.5 Flash-Lite
Not sourced
Kimi K2.5
Not sourced
Reasoning profile
Gemini 2.5 Flash-Lite
Hybrid
Kimi K2.5
Non-Reasoning
Weight access
Gemini 2.5 Flash-Lite
Proprietary
Kimi K2.5
Open Weight
License
Gemini 2.5 Flash-Lite
Proprietary
Kimi K2.5
Open Weight
Release date
Gemini 2.5 Flash-Lite
2025-07-22
Kimi K2.5
2026-01-27
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
- At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner.
- Workload cost
- Repository review: $0.0062 vs $0.039. Cache-heavy agent loop: $0.008 vs $0.162.
- Context tradeoff
- Gemini 2.5 Flash-Lite has the larger documented window (1M).
Run the same representative tasks against both endpoints before changing production traffic.
Questions
Which is better, Gemini 2.5 Flash-Lite or Kimi K2.5?
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.
Which is better for coding, Gemini 2.5 Flash-Lite or Kimi K2.5?
Gemini 2.5 Flash-Lite is not ranked on the public lane for coding, so no winner is named for coding.
Which is better for agentic tasks, Gemini 2.5 Flash-Lite or Kimi K2.5?
Gemini 2.5 Flash-Lite is not ranked on the public lane for agentic tasks, so no winner is named for agentic tasks.
Which costs less, Gemini 2.5 Flash-Lite or Kimi K2.5?
For the stated presets, chat costs $0.0003 on Gemini 2.5 Flash-Lite and $0.0021 on Kimi K2.5; repository review costs $0.0062 and $0.039; the cache-heavy agent loop costs $0.008 and $0.162. Kimi K2.5 has no published cached-input rate, so cached tokens use its listed input rate.
Which has the larger context window, Gemini 2.5 Flash-Lite or Kimi K2.5?
Gemini 2.5 Flash-Lite has the larger documented context window: 1M, compared with 256K.
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
Gemini 2.5 Flash-Lite
API / mo$375
Self-host / moNot listed
Break-even—
Proprietary model — self-hosting not applicable.
Kimi K2.5
API / mo$2,700
Self-host / mo$7,358
Break-even186M/day
Benchmark evidence
The full public result ledger is available for audit without forcing a wide desktop table onto a phone.
Browse raw public benchmark evidence69 rows
Agentic
Terminal-Bench 2.0
Gemini 2.5 Flash-Lite—Kimi K2.550.8%SourceNot directly comparable
BrowseComp
Gemini 2.5 Flash-Lite—Kimi K2.560.6%SourceNot directly comparable
OSWorld-Verified
Gemini 2.5 Flash-Lite—Kimi K2.563.3%SourceNot directly comparable
Claw-Eval
Gemini 2.5 Flash-Lite—Kimi K2.552.3%SourceNot directly comparable
QwenClawBench
Gemini 2.5 Flash-Lite—Kimi K2.554.3%SourceNot directly comparable
τ³-bench results
Gemini 2.5 Flash-Lite—Kimi K2.565.7%SourceNot directly comparable
DeepSearchQA
Gemini 2.5 Flash-Lite—Kimi K2.577.1%SourceNot directly comparable
DeepPlanning
Gemini 2.5 Flash-Lite—Kimi K2.514.4%SourceNot directly comparable
Toolathlon
Gemini 2.5 Flash-Lite—Kimi K2.527.8%SourceNot directly comparable
MCP Atlas
Gemini 2.5 Flash-Lite—Kimi K2.529.5%SourceNot directly comparable
MCP-Tasks
Gemini 2.5 Flash-Lite—Kimi K2.559.1%SourceNot directly comparable
WideResearch
Gemini 2.5 Flash-Lite—Kimi K2.572.7%SourceNot directly comparable
BFCL v4
Gemini 2.5 Flash-Lite—Kimi K2.568.3%SourceNot directly comparable
Gert Labs
Gemini 2.5 Flash-Lite—Kimi K2.545.88%SourceNot directly comparable
ResearchClawBench
Gemini 2.5 Flash-Lite—Kimi K2.514.0%SourceNot directly comparable
JobBench
Gemini 2.5 Flash-Lite—Kimi K2.58.7%SourceNot directly comparable
Coding
SWE-bench Verified
Gemini 2.5 Flash-Lite31.6%SourceKimi K2.576.8%SourceKimi K2.5 leads this result
SWE-bench Verified*
Gemini 2.5 Flash-Lite—Kimi K2.570.8%SourceNot directly comparable
LiveCodeBench v6
Gemini 2.5 Flash-Lite—Kimi K2.585.0%SourceNot directly comparable
SWE-bench Pro
Gemini 2.5 Flash-Lite—Kimi K2.550.7%SourceNot directly comparable
SWE Multilingual
Gemini 2.5 Flash-Lite—Kimi K2.573%SourceNot directly comparable
SWE-Rebench
Gemini 2.5 Flash-Lite—Kimi K2.558.5%SourceNot directly comparable
React Native Evals
Gemini 2.5 Flash-Lite—Kimi K2.577.2%SourceNot directly comparable
NL2Repo
Gemini 2.5 Flash-Lite—Kimi K2.532%SourceNot directly comparable
SciCode
Gemini 2.5 Flash-Lite—Kimi K2.548.7%SourceNot directly comparable
Terminal-Bench 2.0
Gemini 2.5 Flash-Lite—Kimi K2.550.8%SourceNot directly comparable
Reasoning
LongBench v2
Gemini 2.5 Flash-Lite—Kimi K2.561%SourceNot directly comparable
Multimodal
MMMU
Gemini 2.5 Flash-Lite72.9%SourceKimi K2.584.3%SourceKimi K2.5 leads this result
MMMU-Pro
Gemini 2.5 Flash-Lite—Kimi K2.578.5%SourceNot directly comparable
RealWorldQA
Gemini 2.5 Flash-Lite—Kimi K2.581.0%SourceNot directly comparable
OmniDocBench 1.5
Gemini 2.5 Flash-Lite—Kimi K2.588.8%SourceNot directly comparable
Video-MME
Gemini 2.5 Flash-Lite—Kimi K2.587.4%SourceNot directly comparable
Video-MME (with subtitle)
Gemini 2.5 Flash-Lite—Kimi K2.587.4%SourceNot directly comparable
Video-MME (w/o subtitle)
Gemini 2.5 Flash-Lite—Kimi K2.583.2%SourceNot directly comparable
MathVision
Gemini 2.5 Flash-Lite—Kimi K2.584.2%SourceNot directly comparable
We-Math
Gemini 2.5 Flash-Lite—Kimi K2.584.7%SourceNot directly comparable
DynaMath
Gemini 2.5 Flash-Lite—Kimi K2.584.4%SourceNot directly comparable
SimpleVQA
Gemini 2.5 Flash-Lite—Kimi K2.571.2%SourceNot directly comparable
MMLongBench-Doc
Gemini 2.5 Flash-Lite—Kimi K2.558.5%SourceNot directly comparable
CC-OCR
Gemini 2.5 Flash-Lite—Kimi K2.579.7%SourceNot directly comparable
AI2D_TEST
Gemini 2.5 Flash-Lite—Kimi K2.590.8%SourceNot directly comparable
CountBench
Gemini 2.5 Flash-Lite—Kimi K2.594.1%SourceNot directly comparable
RefCOCO (avg)
Gemini 2.5 Flash-Lite—Kimi K2.587.8%SourceNot directly comparable
MMVU
Gemini 2.5 Flash-Lite—Kimi K2.580.4%SourceNot directly comparable
VideoMMMU
Gemini 2.5 Flash-Lite—Kimi K2.586.6%SourceNot directly comparable
MLVU (M-Avg)
Gemini 2.5 Flash-Lite—Kimi K2.585.0%SourceNot directly comparable
CharXiv
Gemini 2.5 Flash-Lite—Kimi K2.577.5%SourceNot directly comparable
Knowledge
GPQA
Gemini 2.5 Flash-Lite64.6%SourceKimi K2.587.6%SourceKimi K2.5 leads this result
SimpleQA
Gemini 2.5 Flash-Lite10.7%SourceKimi K2.5—Not directly comparable
GPQA-D
Gemini 2.5 Flash-Lite—Kimi K2.587.6%SourceNot directly comparable
SuperGPQA
Gemini 2.5 Flash-Lite—Kimi K2.569.2%SourceNot directly comparable
MMLU-Pro
Gemini 2.5 Flash-Lite—Kimi K2.587.1%SourceNot directly comparable
MMLU-Pro (Arcee)
Gemini 2.5 Flash-Lite—Kimi K2.587.1%SourceNot directly comparable
MMLU-Redux
Gemini 2.5 Flash-Lite—Kimi K2.594.5%SourceNot directly comparable
C-Eval
Gemini 2.5 Flash-Lite—Kimi K2.594%SourceNot directly comparable
HLE
Gemini 2.5 Flash-Lite—Kimi K2.530.1%SourceNot directly comparable
Multilingual
MMLU-ProX
Gemini 2.5 Flash-Lite—Kimi K2.582.3%SourceNot directly comparable
NOVA-63
Gemini 2.5 Flash-Lite—Kimi K2.556.0%SourceNot directly comparable
INCLUDE
Gemini 2.5 Flash-Lite—Kimi K2.583.3%SourceNot directly comparable
PolyMath
Gemini 2.5 Flash-Lite—Kimi K2.543.1%SourceNot directly comparable
MAXIFE
Gemini 2.5 Flash-Lite—Kimi K2.572.8%SourceNot directly comparable
Instruction following
IFEval
Gemini 2.5 Flash-Lite—Kimi K2.593.9%SourceNot directly comparable
Math
AIME 2025
Gemini 2.5 Flash-Lite49.8%SourceKimi K2.596.1%SourceKimi K2.5 leads this result
AIME26
Gemini 2.5 Flash-Lite—Kimi K2.595.8%SourceNot directly comparable
AIME25 (Arcee)
Gemini 2.5 Flash-Lite—Kimi K2.596.3%SourceNot directly comparable
HMMT Feb 2025
Gemini 2.5 Flash-Lite—Kimi K2.595.4%SourceNot directly comparable
HMMT Nov 2025
Gemini 2.5 Flash-Lite—Kimi K2.591.1%SourceNot directly comparable
HMMT Feb 2026
Gemini 2.5 Flash-Lite—Kimi K2.587.1%SourceNot directly comparable
MMAnswerBench
Gemini 2.5 Flash-Lite—Kimi K2.581.8%SourceNot directly comparable
69 public results · 4 shared
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Last updated October 17, 2026