Agentic
Directional only- Atria Dawn Preview
- 57.9
- Estimated · #31/153
- Mistral Medium 3.5 128B
- 22.2
- Supported · #151/153
- Basis
- BenchAlign lane · 11 vs 3 public rows
- Reading
- Directional only
Model A
Shanghai Artificial Intelligence Laboratory
—
Evidence status unavailable
90% interval unavailable
Atria Dawn Preview vs Mistral Medium 3.5 128B
Updated September 14, 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.
No workload recommendation clears the current evidence threshold.
Use the matched evidence, workload costs, and sourced specifications below instead of treating a point score as a universal answer.
Show secondary and unsupported calls
Coding work
Code generation, repair, and software-engineering tasks
Not enough matched evidence
Atria Dawn Preview and Mistral Medium 3.5 128B are scored on Estimated evidence for coding, so the reading is directional rather than like-for-like.
Confidence: limited
Agentic work
Tool use, computer use, and multi-step task completion
Not enough matched evidence
Atria Dawn Preview is scored on Estimated evidence for agentic, so the reading is directional rather than like-for-like.
Confidence: limited
Long documents
Prompts that approach the documented context limit
No clear pick
The documented context windows are equal.
Confidence: documented
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
A complete comparable API-rate estimate is not available for both models.
Confidence: rate-fallback
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.
12 Atria Dawn Preview only
1 Shared
6 Mistral Medium 3.5 128B only
- Shared results
- 1
- Atria Dawn Preview only
- 12
- Mistral Medium 3.5 128B only
- 6
- Like-for-like categories
- 0 / 8
2 categories rest on Estimated evidence or different evidence sets. Those rows remain visible for coverage context but do not name a winner.
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
Directional only- Atria Dawn Preview
- 51.6
- Estimated · #51/152
- Mistral Medium 3.5 128B
- 39.1
- Estimated · #121/152
- Basis
- BenchAlign lane · 2 vs 2 public rows
- Reading
- Directional only
Reasoning
Not comparable- Atria Dawn Preview
- Not ranked
- Mistral Medium 3.5 128B
- 68.6
- Unranked · 2 rankable rows
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Knowledge
Not comparable- Atria Dawn Preview
- Not ranked
- Mistral Medium 3.5 128B
- 40.5
- Supported · #132/183
- Basis
- BenchAlign lane · 0 vs 2 public rows
- Reading
- Not comparable
Math
Not comparable- Atria Dawn Preview
- Not ranked
- Mistral Medium 3.5 128B
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Multilingual
Not comparable- Atria Dawn Preview
- Not ranked
- Mistral Medium 3.5 128B
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Multimodal
Not comparable- Atria Dawn Preview
- Not ranked
- Mistral Medium 3.5 128B
- 55.6
- Unranked · 1 rankable row
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Instruction following
Not comparable- Atria Dawn Preview
- Not ranked
- Mistral Medium 3.5 128B
- 84.0
- #48/123
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
| Category | Atria Dawn Preview | Mistral Medium 3.5 128B | Basis | Reading |
|---|---|---|---|---|
| Agentic | 57.9Estimated · #31/153 | 22.2Supported · #151/153 | Directional onlyBenchAlign lane · 11 vs 3 public rows | Directional only |
| Coding | 51.6Estimated · #51/152 | 39.1Estimated · #121/152 | Directional onlyBenchAlign lane · 2 vs 2 public rows | Directional only |
| Reasoning | Not ranked | 68.6Unranked · 2 rankable rows | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Knowledge | Not ranked | 40.5Supported · #132/183 | Not comparableBenchAlign lane · 0 vs 2 public rows | Not comparable |
| Math | Not ranked | 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 |
| Multimodal | Not ranked | 55.6Unranked · 1 rankable row | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Instruction following | Not ranked | 84.0#48/123 | 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
- Atria Dawn Preview
- Self-hosted; infrastructure cost varies
- Fits in one request
- Mistral Medium 3.5 128B
- $0.00525
- Fits in one request
Atria Dawn Preview has no comparable published API token rate.
Repository review
50K fresh input + 3K output tokens
- Atria Dawn Preview
- Self-hosted; infrastructure cost varies
- Fits in one request
- Mistral Medium 3.5 128B
- $0.0975
- Fits in one request
Atria Dawn Preview has no comparable published API token rate.
Cache-heavy agent loop
200K cached + 20K fresh input + 10K output tokens
- Atria Dawn Preview
- Self-hosted; infrastructure cost varies
- Fits in one request
- Cached-input rate unavailable
- Mistral Medium 3.5 128B
- $0.405
- Fits in one request
- Cached input priced at the published list-input rate
Mistral Medium 3.5 128B has no published cached-input rate, so cached tokens use its listed input rate. Atria Dawn Preview 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.
SpecificationAtria Dawn PreviewMistral Medium 3.5 128B
Context window
Maximum documented context; output-token limits may be lower.
Atria Dawn Preview
Mistral Medium 3.5 128B
256K
API model ID
Atria Dawn Preview
Atria-Dawn-Preview
Atria Dawn Preview model cardMistral Medium 3.5 128B
Not sourced
Cached-input rate
A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
Atria Dawn Preview
No comparable hosted API rate
Atria Dawn Preview model cardMistral Medium 3.5 128B
Not published
Documented inputs
Atria Dawn Preview
Not sourced
Mistral Medium 3.5 128B
Not sourced
Documented outputs
Atria Dawn Preview
Not sourced
Mistral Medium 3.5 128B
Not sourced
Provider availability
Atria Dawn Preview
Not sourced
Mistral Medium 3.5 128B
Not sourced
Reasoning profile
Atria Dawn Preview
Reasoning
Mistral Medium 3.5 128B
Reasoning
Weight access
Atria Dawn Preview
Open Weight
Mistral Medium 3.5 128B
Open Weight
License
Atria Dawn Preview
Open Weight
Mistral Medium 3.5 128B
Open Weight
Release date
Atria Dawn Preview
2026-09-14
Mistral Medium 3.5 128B
2026-04-29
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
- Both models list 256K.
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 evidence19 rows
Agentic
AutomationBench
Atria Dawn Preview53.8%SourceMistral Medium 3.5 128B—Not directly comparable
BFCL v4
Atria Dawn Preview77.0%SourceMistral Medium 3.5 128B—Not directly comparable
CyberGym
Atria Dawn Preview86.5%SourceMistral Medium 3.5 128B—Not directly comparable
DeepSearchQA
Atria Dawn Preview96.0%SourceMistral Medium 3.5 128B—Not directly comparable
BrowseComp
Atria Dawn Preview92.5%SourceMistral Medium 3.5 128B—Not directly comparable
skillsBench
Atria Dawn Preview66.4%SourceMistral Medium 3.5 128B—Not directly comparable
MLE-Bench Lite
Atria Dawn Preview86.2%SourceMistral Medium 3.5 128B—Not directly comparable
WideResearch
Atria Dawn Preview81.9%SourceMistral Medium 3.5 128B—Not directly comparable
τ³-bench results
Atria Dawn Preview41.2%SourceMistral Medium 3.5 128B91.4%SourceMistral Medium 3.5 128B leads this result
Terminal-Bench 2.1
Atria Dawn Preview78.3%SourceMistral Medium 3.5 128B—Not directly comparable
JobBench
Atria Dawn Preview50.3%SourceMistral Medium 3.5 128B—Not directly comparable
Gert Labs
Atria Dawn Preview—Mistral Medium 3.5 128B39.10%SourceNot directly comparable
Terminal-Bench 2.1 (Vals)
Atria Dawn Preview—Mistral Medium 3.5 128B39.0%SourceNot directly comparable
Coding
Terminal-Bench 2.1
Atria Dawn Preview78.3%SourceMistral Medium 3.5 128B—Not directly comparable
SWE-bench Pro
Atria Dawn Preview59.6%SourceMistral Medium 3.5 128B—Not directly comparable
SWE-bench Verified
Atria Dawn Preview—Mistral Medium 3.5 128B77.6%SourceNot directly comparable
SWE-bench (Vals)
Atria Dawn Preview—Mistral Medium 3.5 128B66.4%SourceNot directly comparable
Knowledge
Frequently asked questions
Which is better, Atria Dawn Preview or Mistral Medium 3.5 128B?
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, Atria Dawn Preview or Mistral Medium 3.5 128B?
Atria Dawn Preview scores higher for coding on the public lane, 51.6 to 39.1. Atria Dawn Preview and Mistral Medium 3.5 128B 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, Atria Dawn Preview or Mistral Medium 3.5 128B?
Atria Dawn Preview scores higher for agentic tasks on the public lane, 57.9 to 22.2. Atria Dawn Preview is scored on Estimated evidence for agentic tasks, so the reading is directional rather than like-for-like. BenchLM does not name a winner for agentic tasks from a directional reading; read the shared benchmark rows directly and test the models on the same task set.
Which costs less, Atria Dawn Preview or Mistral Medium 3.5 128B?
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, Atria Dawn Preview or Mistral Medium 3.5 128B?
Both models list the same context window, 256K.
Related comparisons
Last updated September 14, 2026
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