Long documents
Prompts that approach the documented context limit
Gemini 1.5 Pro
Gemini 1.5 Pro has the larger documented context window.
Confidence: documented
Gemini 1.5 Pro vs Ornith-1.5-35B-A3B
Updated October 2, 2026. Rank says Ornith-1.5-35B-A3B is ahead. Price, access, and your workload can each overturn that. Public scores include evidence status and uncertainty.
Both of these models will change. Get the price, version and retirement notices for the pair, each with its source. Follow model changes
Share or export
Decision reading
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 resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.
- Shared results
- 0
- Gemini 1.5 Pro only
- 0
- Ornith-1.5-35B-A3B only
- 18
- Like-for-like categories
- 0 / 8
Estimated: Gemini 1.5 Pro and Ornith-1.5-35B-A3B. Conditional ranges do not establish rank confidence.How 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.
Show secondary and unsupported calls
Coding work
Code generation, repair, and software-engineering tasks
Not enough matched evidence
Gemini 1.5 Pro and Ornith-1.5-35B-A3B are scored on Estimated evidence for coding, so the reading is directional rather than like-for-like.
Confidence: limitedAgentic work
Tool use, computer use, and multi-step task completion
Not enough matched evidence
Gemini 1.5 Pro is not ranked on the public lane for agentic, so no winner is named for agentic.
Confidence: limitedChat 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-ratesCache-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-fallbackRepository 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
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.
16.7Gemini 1.5 Pro24.0Ornith-1.5-35B-A3B
Directional only · BenchAlign v5.8
Ornith-1.5-35B-A3B has the higher coding point estimate. Conditional score ranges do not establish rank confidence.
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.
18 Ornith-1.5-35B-A3B only
2 categories rest 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.
A shared-evidence shape is not available.
BenchLM does not draw a radar or infer missing axes when the matched evidence is too sparse.
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.
Coding
Directional only- Gemini 1.5 Pro
- 16.7
- Estimated · #130/144
- Ornith-1.5-35B-A3B
- 24.0
- Estimated · #110/144
- Basis
- BenchAlign v5.8 lane · 0 vs 7 public rows
- Reading
- Directional only
Knowledge
Directional only- Gemini 1.5 Pro
- 26.3
- Estimated · #151/171
- Ornith-1.5-35B-A3B
- 34.5
- Estimated · #119/171
- Basis
- BenchAlign v5.8 lane · 0 vs 4 public rows
- Reading
- Directional only
Agentic
Not comparable- Gemini 1.5 Pro
- Not ranked
- Ornith-1.5-35B-A3B
- 23.5
- Estimated · #95/119
- Basis
- BenchAlign v5.8 lane · 0 vs 7 public rows
- Reading
- Not comparable
Reasoning
Not comparable- Gemini 1.5 Pro
- Not ranked
- Ornith-1.5-35B-A3B
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Multimodal
Not comparable- Gemini 1.5 Pro
- 42.2
- Unranked · 1 rankable row
- Ornith-1.5-35B-A3B
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Multilingual
Not comparable- Gemini 1.5 Pro
- Not ranked
- Ornith-1.5-35B-A3B
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Instruction following
Not comparable- Gemini 1.5 Pro
- Not ranked
- Ornith-1.5-35B-A3B
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Math
Not comparable- Gemini 1.5 Pro
- Not ranked
- Ornith-1.5-35B-A3B
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
| Category | Gemini 1.5 Pro | Ornith-1.5-35B-A3B | Basis | Reading |
|---|---|---|---|---|
| Coding | 16.7Estimated · #130/144 | 24.0Estimated · #110/144 | Directional onlyBenchAlign v5.8 lane · 0 vs 7 public rows | Directional only |
| Knowledge | 26.3Estimated · #151/171 | 34.5Estimated · #119/171 | Directional onlyBenchAlign v5.8 lane · 0 vs 4 public rows | Directional only |
| Agentic | Not ranked | 23.5Estimated · #95/119 | Not comparableBenchAlign v5.8 lane · 0 vs 7 public rows | Not comparable |
| Reasoning | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Multimodal | 42.2Unranked · 1 rankable row | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Multilingual | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Instruction following | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Math | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 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 1.5 Pro
- $0.00375
- Fits in one request
- Ornith-1.5-35B-A3B
- Self-hosted; infrastructure cost varies
- Fits in one request
Ornith-1.5-35B-A3B has no comparable published API token rate.
Repository review
50K fresh input + 3K output tokens
- Gemini 1.5 Pro
- $0.0775
- Fits in one request
- Ornith-1.5-35B-A3B
- Self-hosted; infrastructure cost varies
- Fits in one request
Ornith-1.5-35B-A3B has no comparable published API token rate.
Cache-heavy agent loop
200K cached + 20K fresh input + 10K output tokens
- Gemini 1.5 Pro
- $0.325
- Fits in one request
- Cached input priced at the published list-input rate
- Ornith-1.5-35B-A3B
- Self-hosted; infrastructure cost varies
- Fits in one request
- Cached-input rate unavailable
Gemini 1.5 Pro has no published cached-input rate, so cached tokens use its listed input rate. Ornith-1.5-35B-A3B has no comparable published API token 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 1.5 ProOrnith-1.5-35B-A3B
Context window
Maximum documented context; output-token limits may be lower.
Gemini 1.5 Pro
1M
Ornith-1.5-35B-A3B
API model ID
Gemini 1.5 Pro
Not sourced
Ornith-1.5-35B-A3B
Not sourced
Cached-input rate
A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
Gemini 1.5 Pro
Not published
Ornith-1.5-35B-A3B
No comparable hosted API rate
Ornith-1.5-35B-A3B model cardDocumented inputs
Gemini 1.5 Pro
Not sourced
Ornith-1.5-35B-A3B
Not sourced
Documented outputs
Gemini 1.5 Pro
Not sourced
Ornith-1.5-35B-A3B
Not sourced
Provider availability
Gemini 1.5 Pro
Not sourced
Ornith-1.5-35B-A3B
Not sourced
Reasoning profile
Gemini 1.5 Pro
Non-Reasoning
Ornith-1.5-35B-A3B
Reasoning
Weight access
Gemini 1.5 Pro
Proprietary
Ornith-1.5-35B-A3B
Open Weight
License
Gemini 1.5 Pro
Proprietary
Ornith-1.5-35B-A3B
Open Weight
Release date
Gemini 1.5 Pro
2024-02-15
Ornith-1.5-35B-A3B
2026-08-18
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
- 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
- Gemini 1.5 Pro has the larger documented window (1M).
Run the same representative tasks against both endpoints before changing production traffic.
Questions
Which is better, Gemini 1.5 Pro or Ornith-1.5-35B-A3B?
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, Gemini 1.5 Pro or Ornith-1.5-35B-A3B?
Ornith-1.5-35B-A3B scores higher for coding on the public lane, 24 to 16.7. Gemini 1.5 Pro and Ornith-1.5-35B-A3B are scored on Estimated evidence for coding, so the reading is directional rather than like-for-like. BenchLM does not name a winner for coding from a directional reading; read the shared benchmark rows directly and test the models on the same task set.
Which is better for agentic tasks, Gemini 1.5 Pro or Ornith-1.5-35B-A3B?
Gemini 1.5 Pro is not ranked on the public lane for agentic tasks, so no winner is named for agentic tasks.
Which costs less, Gemini 1.5 Pro or Ornith-1.5-35B-A3B?
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, Gemini 1.5 Pro or Ornith-1.5-35B-A3B?
Gemini 1.5 Pro has the larger documented context window: 1M, compared with 262K.
Benchmark evidence
The full public result ledger is available for audit without forcing a wide desktop table onto a phone.
Browse raw public benchmark evidence18 rows
Agentic
Terminal-Bench 2.1
Gemini 1.5 Pro—Ornith-1.5-35B-A3B67.8%SourceNot directly comparable
HLE w/ tools
Gemini 1.5 Pro—Ornith-1.5-35B-A3B33.4%SourceNot directly comparable
MCP Atlas
Gemini 1.5 Pro—Ornith-1.5-35B-A3B70.2%SourceNot directly comparable
Toolathlon-Verified
Gemini 1.5 Pro—Ornith-1.5-35B-A3B48.7%SourceNot directly comparable
WideResearch
Gemini 1.5 Pro—Ornith-1.5-35B-A3B67.8%SourceNot directly comparable
BrowseComp
Gemini 1.5 Pro—Ornith-1.5-35B-A3B67.6%SourceNot directly comparable
Claw-Eval
Gemini 1.5 Pro—Ornith-1.5-35B-A3B72.5%SourceNot directly comparable
Coding
Terminal-Bench 2.1
Gemini 1.5 Pro—Ornith-1.5-35B-A3B67.8%SourceNot directly comparable
SWE-bench Verified
Gemini 1.5 Pro—Ornith-1.5-35B-A3B79%SourceNot directly comparable
SWE-bench Pro
Gemini 1.5 Pro—Ornith-1.5-35B-A3B59.6%SourceNot directly comparable
SWE Multilingual
Gemini 1.5 Pro—Ornith-1.5-35B-A3B71.4%SourceNot directly comparable
DeepSWE
Gemini 1.5 Pro—Ornith-1.5-35B-A3B22.0%SourceNot directly comparable
frontierBench
Gemini 1.5 Pro—Ornith-1.5-35B-A3B5.1%SourceNot directly comparable
NL2Repo
Gemini 1.5 Pro—Ornith-1.5-35B-A3B46.2%SourceNot directly comparable
Knowledge
18 public results · 0 shared
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Last updated October 2, 2026