Agentic
Not comparable- Mellum2-12B-A2.5B-Thinking
- 45.8
- Estimated · #79/152
- Solar Pro 4
- Not ranked
- Basis
- BenchAlign lane · 1 vs 4 public rows
- Reading
- Not comparable
Mellum2-12B-A2.5B-Thinking vs Solar Pro 4
Updated September 10, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.
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.
Share or export
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.
Long documents
Prompts that approach the documented context limit
Solar Pro 4
Solar Pro 4 has the larger documented context window.
Confidence: documented
Show secondary and unsupported calls
Coding work
Code generation, repair, and software-engineering tasks
Not enough matched evidence
Mellum2-12B-A2.5B-Thinking and Solar Pro 4 are not ranked on the public lane for coding, so no winner is named for coding.
Confidence: limited
Agentic work
Tool use, computer use, and multi-step task completion
Not enough matched evidence
Solar Pro 4 is not ranked on the public lane for agentic, so no winner is named for agentic.
Confidence: limited
Chat 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-rates
Cache-heavy agent loop cost
200K cached + 20K fresh input + 10K output tokens
Not enough matched evidence
The page does not recommend a cost winner because at least one model cannot fit the stated workload in one request. Mellum2-12B-A2.5B-Thinking does not fit this workload in one request. Mellum2-12B-A2.5B-Thinking has no comparable published API token rate.
Confidence: listed-rates
Repository 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
What is actually comparable
Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.
5 Mellum2-12B-A2.5B-Thinking only
1 Shared
9 Solar Pro 4 only
- Shared results
- 1
- Mellum2-12B-A2.5B-Thinking only
- 5
- Solar Pro 4 only
- 9
- Like-for-like categories
- 0 / 8
Category results, on a stated basis
Each row shows the public-lane category score for both models: the BenchAlign 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
Not comparable- Mellum2-12B-A2.5B-Thinking
- Not ranked
- Solar Pro 4
- Not ranked
- Basis
- BenchAlign lane · 1 vs 3 public rows
- Reading
- Not comparable
Reasoning
Not comparable- Mellum2-12B-A2.5B-Thinking
- Not ranked
- Solar Pro 4
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Knowledge
Not comparable- Mellum2-12B-A2.5B-Thinking
- 46.3
- Estimated · #103/183
- Solar Pro 4
- Not ranked
- Basis
- BenchAlign lane · 3 vs 2 public rows
- Reading
- Not comparable
Math
Not comparable- Mellum2-12B-A2.5B-Thinking
- Not ranked
- Solar Pro 4
- Not ranked
- Basis
- Provisional lane · 0 vs 1 weighted rows
- Reading
- Not comparable
Multilingual
Not comparable- Mellum2-12B-A2.5B-Thinking
- Not ranked
- Solar Pro 4
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Multimodal
Not comparable- Mellum2-12B-A2.5B-Thinking
- Not ranked
- Solar Pro 4
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Instruction following
Not comparable- Mellum2-12B-A2.5B-Thinking
- Not ranked
- Solar Pro 4
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
| Category | Mellum2-12B-A2.5B-Thinking | Solar Pro 4 | Basis | Reading |
|---|---|---|---|---|
| Agentic | 45.8Estimated · #79/152 | Not ranked | Not comparableBenchAlign lane · 1 vs 4 public rows | Not comparable |
| Coding | Not ranked | Not ranked | Not comparableBenchAlign lane · 1 vs 3 public rows | Not comparable |
| Reasoning | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Knowledge | 46.3Estimated · #103/183 | Not ranked | Not comparableBenchAlign lane · 3 vs 2 public rows | Not comparable |
| Math | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 1 weighted rows | Not comparable |
| Multilingual | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Multimodal | 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 |
Ranks count the models scored in each category’s lane, so the agentic, coding, and knowledge denominators (BenchAlign) differ from the provisional-lane categories. Unranked scores sit on the lane’s scale but never name a winner. Like-for-like rows within 0.5 points read as a practical tie.
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.
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
- Mellum2-12B-A2.5B-Thinking
- API rate not published
- Fits in one request
- Solar Pro 4
- $0.0009
- Fits in one request
Mellum2-12B-A2.5B-Thinking has no comparable published API token rate.
Repository review
50K fresh input + 3K output tokens
- Mellum2-12B-A2.5B-Thinking
- API rate not published
- Fits in one request
- Solar Pro 4
- $0.0186
- Fits in one request
Mellum2-12B-A2.5B-Thinking has no comparable published API token rate.
Cache-heavy agent loop
200K cached + 20K fresh input + 10K output tokens
- Mellum2-12B-A2.5B-Thinking
- API rate not published
- Does not fit in one request
- Cached-input rate unavailable
- Solar Pro 4
- $0.03
- Fits in one request
Mellum2-12B-A2.5B-Thinking does not fit this workload in one request. Mellum2-12B-A2.5B-Thinking has no comparable published API token rate.
Specification differences
Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.
SpecificationMellum2-12B-A2.5B-ThinkingSolar Pro 4
Context window
Maximum documented context; output-token limits may be lower.
Mellum2-12B-A2.5B-Thinking
128K
Solar Pro 4
API model ID
Mellum2-12B-A2.5B-Thinking
Not sourced
Solar Pro 4
solar-pro4
Upstage Solar Pro 4 launch postCached-input rate
A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
Mellum2-12B-A2.5B-Thinking
No comparable hosted API rate
Solar Pro 4
$0.06 per 1M cached input tokens
Upstage Solar Pro 4 launch postDocumented inputs
Mellum2-12B-A2.5B-Thinking
Not sourced
Solar Pro 4
Not sourced
Documented outputs
Mellum2-12B-A2.5B-Thinking
Not sourced
Solar Pro 4
Not sourced
Provider availability
Mellum2-12B-A2.5B-Thinking
Not sourced
Solar Pro 4
Not sourced
Reasoning profile
Mellum2-12B-A2.5B-Thinking
Reasoning
Solar Pro 4
Reasoning
Weight access
Mellum2-12B-A2.5B-Thinking
Open Weight
Solar Pro 4
Proprietary
License
Mellum2-12B-A2.5B-Thinking
Open Weight
Solar Pro 4
Proprietary
Release date
Mellum2-12B-A2.5B-Thinking
2026-05-28
Solar Pro 4
2026-08-11
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
- Solar Pro 4 has the larger documented window (512K).
Run the same representative tasks against both endpoints before changing production traffic.
Benchmark evidence
The full public result ledger is available for audit without forcing a wide desktop table onto a phone.
Browse raw public benchmark evidence15 rows
Agentic
BFCL v4
Mellum2-12B-A2.5B-Thinking45.6%SourceSolar Pro 4—Not directly comparable
Terminal-Bench 2.1
Mellum2-12B-A2.5B-Thinking—Solar Pro 457.0%SourceNot directly comparable
BrowseComp
Mellum2-12B-A2.5B-Thinking—Solar Pro 449.2%SourceNot directly comparable
MCP Atlas
Mellum2-12B-A2.5B-Thinking—Solar Pro 461.4%SourceNot directly comparable
APEX-Agents
Mellum2-12B-A2.5B-Thinking—Solar Pro 418.7%SourceNot directly comparable
Coding
LiveCodeBench v6
Mellum2-12B-A2.5B-Thinking69.9%SourceSolar Pro 4—Not directly comparable
Terminal-Bench 2.1
Mellum2-12B-A2.5B-Thinking—Solar Pro 457.0%SourceNot directly comparable
SWE-bench Verified
Mellum2-12B-A2.5B-Thinking—Solar Pro 470.6%SourceNot directly comparable
LiveCodeBench
Mellum2-12B-A2.5B-Thinking—Solar Pro 487.8%SourceNot directly comparable
Knowledge
MMLU-Redux
Mellum2-12B-A2.5B-Thinking86.2%SourceSolar Pro 4—Not directly comparable
GPQA
Mellum2-12B-A2.5B-Thinking57.6%SourceSolar Pro 4—Not directly comparable
GPQA-D
Mellum2-12B-A2.5B-Thinking57.6%SourceSolar Pro 489.0%SourceSolar Pro 4 leads this result
MMLU-Pro
Mellum2-12B-A2.5B-Thinking—Solar Pro 486.3%SourceNot directly comparable
Math
AIME26
Mellum2-12B-A2.5B-Thinking—Solar Pro 495.3%SourceNot directly comparable
Instruction following
IFEval
Mellum2-12B-A2.5B-Thinking76.5%SourceSolar Pro 4—Not directly comparable
Frequently asked questions
Which is better, Mellum2-12B-A2.5B-Thinking or Solar Pro 4?
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, Mellum2-12B-A2.5B-Thinking or Solar Pro 4?
Mellum2-12B-A2.5B-Thinking and Solar Pro 4 are not ranked on the public lane for coding, so no winner is named for coding.
Which is better for agentic tasks, Mellum2-12B-A2.5B-Thinking or Solar Pro 4?
Solar Pro 4 is not ranked on the public lane for agentic tasks, so no winner is named for agentic tasks.
Which costs less, Mellum2-12B-A2.5B-Thinking or Solar Pro 4?
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, Mellum2-12B-A2.5B-Thinking or Solar Pro 4?
Solar Pro 4 has the larger documented context window: 512K, compared with 128K.
Related comparisons
Last updated September 10, 2026
Watch Mellum2-12B-A2.5B-Thinking vs Solar Pro 4
One weekly email when material rank, price, or benchmark evidence changes make this matchup worth revisiting.
Read a sample issueJoin 2,000+ readers.