Long documents
Prompts that approach the documented context limit
GPT-6 Astra
GPT-6 Astra has the larger documented context window.
Confidence: documented
GPT-6 Astra vs Solar Open 2
Updated October 25, 2026. We do not rank this pair: at least one has no public score. Public scores include evidence status and uncertainty.
Share or export
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. 1 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.
- Shared results
- 1
- GPT-6 Astra only
- 43
- Solar Open 2 only
- 10
- Like-for-like categories
- 0 / 8
Supported: GPT-6 AstraHow 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
Solar Open 2 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
Solar Open 2 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: listed-ratesRepository 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.
75.7GPT-6 Astra—Solar Open 2
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.
43 GPT-6 Astra only
1 Shared
10 Solar Open 2 only
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.
Agentic
Not comparable- GPT-6 Astra
- 75.7
- Supported · #7/132
- Solar Open 2
- Not ranked
- Basis
- BenchAlign v5.8 lane · 14 vs 3 public rows
- Reading
- Not comparable
Coding
Not comparable- GPT-6 Astra
- 75.7
- Supported · #4/153
- Solar Open 2
- Not ranked
- Basis
- BenchAlign v5.8 lane · 6 vs 2 public rows
- Reading
- Not comparable
Reasoning
Not comparable- GPT-6 Astra
- 93.3
- #1/27
- Solar Open 2
- Not ranked
- Basis
- Provisional lane · 2 vs 0 weighted rows
- Reading
- Not comparable
Multimodal
Not comparable- GPT-6 Astra
- 88.2
- Unranked · 3 rankable rows
- Solar Open 2
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Knowledge
Not comparable- GPT-6 Astra
- 85.7
- Supported · #3/187
- Solar Open 2
- Not ranked
- Basis
- BenchAlign v5.8 lane · 7 vs 3 public rows
- Reading
- Not comparable
Multilingual
Not comparable- GPT-6 Astra
- Not ranked
- Solar Open 2
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Instruction following
Not comparable- GPT-6 Astra
- Not ranked
- Solar Open 2
- Not ranked
- Basis
- Provisional lane · 0 vs 1 weighted rows
- Reading
- Not comparable
Math
Not comparable- GPT-6 Astra
- 97.3
- Unranked · 2 rankable rows
- Solar Open 2
- Not ranked
- Basis
- Provisional lane · 2 vs 2 weighted rows
- Reading
- Not comparable
| Category | GPT-6 Astra | Solar Open 2 | Basis | Reading |
|---|---|---|---|---|
| Agentic | 75.7Supported · #7/132 | Not ranked | Not comparableBenchAlign v5.8 lane · 14 vs 3 public rows | Not comparable |
| Coding | 75.7Supported · #4/153 | Not ranked | Not comparableBenchAlign v5.8 lane · 6 vs 2 public rows | Not comparable |
| Reasoning | 93.3#1/27 | Not ranked | Not comparableProvisional lane · 2 vs 0 weighted rows | Not comparable |
| Multimodal | 88.2Unranked · 3 rankable rows | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Knowledge | 85.7Supported · #3/187 | Not ranked | Not comparableBenchAlign v5.8 lane · 7 vs 3 public 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 1 weighted rows | Not comparable |
| Math | 97.3Unranked · 2 rankable rows | Not ranked | Not comparableProvisional lane · 2 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.
Supported evidence per lane · 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
- GPT-6 Astra
- $0.035
- Fits in one request
- Solar Open 2
- Self-hosted; infrastructure cost varies
- Fits in one request
Solar Open 2 has no comparable published API token rate.
Repository review
50K fresh input + 3K output tokens
- GPT-6 Astra
- $0.65
- Fits in one request
- Solar Open 2
- Self-hosted; infrastructure cost varies
- Fits in one request
Solar Open 2 has no comparable published API token rate.
Cache-heavy agent loop
200K cached + 20K fresh input + 10K output tokens
- GPT-6 Astra
- $0.9
- Fits in one request
- Solar Open 2
- Self-hosted; infrastructure cost varies
- Fits in one request
- Cached-input rate unavailable
Solar Open 2 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.
SpecificationGPT-6 AstraSolar Open 2
Context window
Maximum documented context; output-token limits may be lower.
GPT-6 Astra
Solar Open 2
API model ID
GPT-6 Astra
gpt-6-astra
OpenAI GPT-6 Astra model documentationSolar Open 2
upstage/Solar-Open2-250B
Upstage Solar Open 2 model cardCached-input rate
A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
GPT-6 Astra
$1 per 1M cached input tokens
OpenAI GPT-6 Astra model documentationSolar Open 2
No comparable hosted API rate
Upstage Solar Open 2 model cardDocumented inputs
GPT-6 Astra
text, image
OpenAI GPT-6 Astra model documentationSolar Open 2
Not sourced
Documented outputs
GPT-6 Astra
Solar Open 2
Not sourced
Provider availability
GPT-6 Astra
Limited Availability · OpenAI Responses API, OpenAI Chat Completions API, ChatGPT Plus, Pro, Business, and Enterprise, Microsoft Azure, AWS Bedrock
OpenAI GPT-6 Astra model documentationSolar Open 2
Not sourced
Reasoning profile
GPT-6 Astra
Reasoning
Solar Open 2
Reasoning
Weight access
GPT-6 Astra
Proprietary
Solar Open 2
Open Weight
License
GPT-6 Astra
Proprietary
Solar Open 2
Open Weight
Release date
GPT-6 Astra
2026-09-03
Solar Open 2
2026-07-22
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
- A complete comparable API-rate estimate is not available for both models.
- Context tradeoff
- GPT-6 Astra has the larger documented window (1.05M).
Run the same representative tasks against both endpoints before changing production traffic.
Questions
Which is better, GPT-6 Astra or Solar Open 2?
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, GPT-6 Astra or Solar Open 2?
Solar Open 2 is not ranked on the public lane for coding, so no winner is named for coding.
Which is better for agentic tasks, GPT-6 Astra or Solar Open 2?
Solar Open 2 is not ranked on the public lane for agentic tasks, so no winner is named for agentic tasks.
Which costs less, GPT-6 Astra or Solar Open 2?
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, GPT-6 Astra or Solar Open 2?
GPT-6 Astra has the larger documented context window: 1.05M, compared with 1M.
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
GPT-6 Astra
API / mo$45,000
Self-host / moNot listed
Break-even—
Proprietary model — self-hosting not applicable.
Solar Open 2
API / mo$0
Self-host / mo$13,981
Break-even—
Benchmark evidence
The full public result ledger is available for audit without forcing a wide desktop table onto a phone.
Browse raw public benchmark evidence54 rows
Agentic
BrowseComp
GPT-6 Astra91.5%SourceSolar Open 2—Not directly comparable
OSWorld 2.0
GPT-6 Astra72.6%SourceSolar Open 2—Not directly comparable
Terminal-Bench 4.0
GPT-6 Astra57.90%SourceSolar Open 2—Not directly comparable
Terminal-Bench-Science 0.1
GPT-6 Astra64.6%SourceSolar Open 2—Not directly comparable
ExploitGym
GPT-6 Astra42.4%SourceSolar Open 2—Not directly comparable
Agents' Last Exam
GPT-6 Astra59.3%SourceSolar Open 2—Not directly comparable
AutomationBench
GPT-6 Astra41.4%SourceSolar Open 2—Not directly comparable
HLE w/ tools
GPT-6 Astra57.2%SourceSolar Open 2—Not directly comparable
Terminal-Bench 2.1 (Vals)
GPT-6 Astra87.3%SourceSolar Open 2—Not directly comparable
ApprenticeBench
GPT-6 Astra68%SourceSolar Open 2—Not directly comparable
CWE-bench v1
GPT-6 Astra68.0%SourceSolar Open 2—Not directly comparable
Hermes Index
GPT-6 Astra56.3%SourceSolar Open 2—Not directly comparable
Hermes Bench
GPT-6 Astra73.7%SourceSolar Open 2—Not directly comparable
MazeBench
GPT-6 Astra23%SourceSolar Open 2—Not directly comparable
terminalBenchHard
GPT-6 Astra—Solar Open 228.3%SourceNot directly comparable
APEX-Agents
GPT-6 Astra—Solar Open 216.6%SourceNot directly comparable
MCP Atlas
GPT-6 Astra—Solar Open 258.2%SourceNot directly comparable
Coding
DeepSWE
GPT-6 Astra74.1%SourceSolar Open 2—Not directly comparable
FrontierCode 1.1 Main
GPT-6 Astra53.3%SourceSolar Open 2—Not directly comparable
FrontierCode 1.1 Extended
GPT-6 Astra64.5%SourceSolar Open 2—Not directly comparable
FrontierSWE v2
GPT-6 Astra65.5%SourceSolar Open 2—Not directly comparable
PostTrainBench v1.1
GPT-6 Astra44.3%SourceSolar Open 2—Not directly comparable
Bug Hunt Bench
GPT-6 Astra45.0 fixesSourceSolar Open 2—Not directly comparable
LiveCodeBench v6
GPT-6 Astra—Solar Open 292.4%SourceNot directly comparable
SWE-bench Verified
GPT-6 Astra—Solar Open 270.4%SourceNot directly comparable
Reasoning
STEMBench
GPT-6 Astra2.81SourceSolar Open 2—Not directly comparable
ARC-AGI-1
GPT-6 Astra97.50%SourceSolar Open 2—Not directly comparable
ARC-AGI-2
GPT-6 Astra95%SourceSolar Open 2—Not directly comparable
ARC-AGI-3
GPT-6 Astra62.7%SourceSolar Open 2—Not directly comparable
GeneBench-Pro
GPT-6 Astra37.8%SourceSolar Open 2—Not directly comparable
MRCR v2 256K-512K
GPT-6 Astra100.0%SourceSolar Open 2—Not directly comparable
MRCR v2 512K-1M
GPT-6 Astra96.3%SourceSolar Open 2—Not directly comparable
GraphWalks BFS 256K–1M
GPT-6 Astra71.8%SourceSolar Open 2—Not directly comparable
ARC-AGI-3 Provider Adapter
GPT-6 Astra98.55%SourceSolar Open 2—Not directly comparable
Multimodal
ExtractBench Pro
GPT-6 Astra58%SourceSolar Open 2—Not directly comparable
ExtractBench (LlamaIndex)
GPT-6 Astra91.91%SourceSolar Open 2—Not directly comparable
ParseBench
GPT-6 Astra69.88%SourceSolar Open 2—Not directly comparable
ScreenSpot Pro
GPT-6 Astra92.7%SourceSolar Open 2—Not directly comparable
BenchCAD Vision2Code (tools)
GPT-6 Astra0.959SourceSolar Open 2—Not directly comparable
Knowledge
GPQA
GPT-6 Astra96%SourceSolar Open 2—Not directly comparable
GPQA-D
GPT-6 Astra96.0%SourceSolar Open 286.3%SourceGPT-6 Astra leads this result
HealthBench (raw)
GPT-6 Astra56.9%SourceSolar Open 2—Not directly comparable
HealthBench (length-adjusted)
GPT-6 Astra58.3%SourceSolar Open 2—Not directly comparable
HealthBench Professional
GPT-6 Astra64.7%SourceSolar Open 2—Not directly comparable
HealthBench Professional (raw)
GPT-6 Astra68.2%SourceSolar Open 2—Not directly comparable
HealthBench Hard
GPT-6 Astra36.6%SourceSolar Open 2—Not directly comparable
MMLU-Pro
GPT-6 Astra—Solar Open 286.2%SourceNot directly comparable
HLE w/o tools
GPT-6 Astra—Solar Open 228.8%SourceNot directly comparable
Instruction following
Math
FrontierMath v2 (Tier 4)
GPT-6 Astra97.600%SourceSolar Open 2—Not directly comparable
FrontierMath v2 (Tiers 1-3)
GPT-6 Astra93.684%SourceSolar Open 2—Not directly comparable
HMMT Feb 2026
GPT-6 Astra—Solar Open 293.9%SourceNot directly comparable
AIME26
GPT-6 Astra—Solar Open 295.7%SourceNot directly comparable
54 public results · 1 shared
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Last updated October 25, 2026