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Saba vs Qwen3.8 Flash

Updated October 21, 2026. 0 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

SabaMistral AI
Coding
No data
Overall
6.5
Output $/M
$0.60
Qwen3.8 FlashQwen
Coding
No data
Overall
No data
Output $/M
$0.47
vs $0.60 vs $0.47 per 1M output tokens. Qwen3.8 Flash is 1.3x cheaper.

Decision reading

Neither model has a coding score yet, so the two cannot be ranked on coding.

Compare them on price, context and the boards below.

Shared results
0
Saba only
4
Qwen3.8 Flash only
7
Like-for-like categories
0 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
Saba not benchmarked, Qwen3.8 Flash not benchmarked.
Widest category
No category has a result for both models.
Widest single gap
No benchmark has a result for both models.
Output price
Saba $0.60 against Qwen3.8 Flash $0.47 per million output tokens, 1.3x apart.
Context window
Saba takes 33K tokens, Qwen3.8 Flash 1M.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

CodingDirectional onlySix of these boards feed the Vibe Coding Index1 board, none shared
Coding benchmarks for Saba and Qwen3.8 Flash
BenchmarkSabaQwen3.8 FlashLeader
LiveBench codingNot measured87.4%Only Qwen3.8 Flash measured
Neither model has a result on the other 37 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Intelligence benchmarks for Saba and Qwen3.8 Flash
BenchmarkSabaQwen3.8 FlashLeader
AA Intelligence Index6.5Not measuredOnly Saba measured
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Agentic work benchmarks for Saba and Qwen3.8 Flash
BenchmarkSabaQwen3.8 FlashLeader
LiveBench researchNot measured74.6%Only Qwen3.8 Flash measured
LiveBench browserNot measured48.0%Only Qwen3.8 Flash measured
LiveBench long agenticNot measured37.1%Only Qwen3.8 Flash measured
Neither model has a result on the other 36 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Reasoning benchmarks for Saba and Qwen3.8 Flash
BenchmarkSabaQwen3.8 FlashLeader
LiveBench reasoningNot measured87.4%Only Qwen3.8 Flash measured
GPQA Diamond (Artificial Analysis run)42.4%Not measuredOnly Saba measured
Humanity's Last Exam (Artificial Analysis run)4.3%Not measuredOnly Saba measured
Neither model has a result on the other 18 boards here
MathNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Math benchmarks for Saba and Qwen3.8 Flash
BenchmarkSabaQwen3.8 FlashLeader
Neither model has a result on 13 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Knowledge benchmarks for Saba and Qwen3.8 Flash
BenchmarkSabaQwen3.8 FlashLeader
MMLU Pro (Artificial Analysis run)61.1%Not measuredOnly Saba measured
Neither model has a result on the other 16 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Web design benchmarks for Saba and Qwen3.8 Flash
BenchmarkSabaQwen3.8 FlashLeader
LiveBench designNot measured72.8%Only Qwen3.8 Flash measured
Neither model has a result on the other 8 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
General benchmarks for Saba and Qwen3.8 Flash
BenchmarkSabaQwen3.8 FlashLeader
LiveBench data analysisNot measured74.2%Only Qwen3.8 Flash measured
Neither model has a result on the other 45 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Saba and Qwen3.8 Flash
BenchmarkSabaQwen3.8 FlashLeader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

Saba$0.0005Fits in one request
Qwen3.8 Flash$0.0004Fits in one request

Qwen3.8 Flash costs less

Repository review

50K input + 3K output tokens

Saba$0.012Exceeds the context window
Qwen3.8 Flash$0.0089Fits in one request

Qwen3.8 Flash costs less

Agent loop

200K input + 10K output tokens

Saba$0.046Exceeds the context window
Qwen3.8 Flash$0.035Fits in one request

Qwen3.8 Flash costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of Saba and Qwen3.8 Flash
SpecificationMistral SabaQwen3.8 Flash
MakerMistral AIQwen
WeightsNo public weights listedOpen weights
ReleasedFebruary 17, 2025August 26, 2026
Context window33K1M
Input $/Mtok$0.20$0.15
Output $/Mtok$0.60$0.47
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it01
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Saba better than Qwen3.8 Flash for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

Which is cheaper, Saba or Qwen3.8 Flash?

Saba costs $0.20 per million input tokens and $0.60 per million output tokens; Qwen3.8 Flash costs $0.15 and $0.47. Cost per solved task is known for neither of them.

Which has the bigger context window, Saba or Qwen3.8 Flash?

Qwen3.8 Flash, with 1M tokens against 33K.

How many benchmarks is the Saba vs Qwen3.8 Flash comparison based on?

0 benchmarks have a result for both models as of October 21, 2026. Saba's coding index rests on 0 independent benchmarks and Qwen3.8 Flash's on 1. Where only one model has a result, the page says so instead of naming a winner.

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