Tool callingStructured outputFile input
Context
33K
Released
1y ago
Input / 1M tokens
$0.20
Output / 1M tokens
$0.60
Cached input / 1M tokens
$0.02

Sources:OpenRouter

Benchmarks

DeepSWE is the primary coding benchmark where an exact model evaluation exists. Other sourced evaluations appear below; missing scores are not zero.

Not evaluated in DeepSWE 1.1 as of 2026-09-22. Results are only shown for exact model versions in the official dataset. Official leaderboard.

No benchmark results have been matched to this model yet.

Specifications

Developer
Mistral AI
Model family
Mistral
Type
Language model
Predecessor
—
Successor
—
Released
February 17, 2025
Model ID
mistralai/mistral-saba
Openness
Closed
License
—
Input modalities
text, file
Output modalities
text
Modality
text+file->text
Tokenizer
Mistral
Max output tokens
26K
Knowledge cutoff
2024-09-30
Hugging Face
—
Source freshness
Endpoints synced Oct 15, 2026, 12:20 PM UTC

Infrastructure

Provider availability

All providers
ProviderEndpointContextInput /M tokensOutput /M tokensCached input /M tokensCache write /M tokensUptime 1dData handling
Mistralmistral/zdr33K$0.20$0.60$0.02—100.00%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Mistralmistral33K$0.20$0.60$0.02—100.00%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Mistralmistral/eu33K$0.22$0.66$0.02——
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Provider data:OpenRouter