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Jamba Large 1.7 vs DeepSeek V3.1

Detailed technical comparison between Jamba Large 1.7 (AI21 Labs) and DeepSeek V3.1 (DeepSeek). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.

⚡ Executive Summary & Verdict

Comparison Snapshot

Jamba Large 1.7: 6 WinsvsDeepSeek V3.1: 0 Wins
Context Leader

Jamba Large 1.7

256,000 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

DeepSeek V3.1

$0.25 / MTok
AI21 Labsactive

Jamba Large 1.7

Jamba Large 1.7 is the latest model in the Jamba open family, offering improvements in grounding, instruction-following, and overall efficiency. Built on a hybrid SSM-Transformer architecture with a 256K context...

View Jamba Large 1.7 Full Specs →
DeepSeekactive

DeepSeek V3.1

DeepSeek-V3.1 is a large hybrid reasoning model (671B parameters, 37B active) that supports both thinking and non-thinking modes via prompt templates. It extends the DeepSeek-V3 base with a two-phase long-context...

View DeepSeek V3.1 Full Specs →

Technical Specifications

🏆 = Superior Spec
SpecificationJamba Large 1.7DeepSeek V3.1
ProviderAI21 LabsDeepSeek
Context Window256,000 tokens🏆163,840 tokens
Agent SuitabilityNot yet benchmarkedNot yet benchmarked
Time to First Token (TTFT)No public TTFT dataNo public TTFT data
Deployment Modelmanaged apiself hostable
Production StabilityStable GA (est.)Stable GA (est.)
API AvailableYesYes
Released Date2025-08-082025-08-21

API Pricing Comparison

Input Price per Million Tokens

Jamba Large 1.7

$2.00

DeepSeek V3.1

$0.25

Output Price per Million Tokens

Jamba Large 1.7

$8.00

DeepSeek V3.1

$0.95

💡 Cost Ratio: DeepSeek V3.1 is 8.0x cheaper per input token than Jamba Large 1.7.

Want to test both models live?

Run side-by-side prompt benchmarks in our dynamic multi-model Sandbox. Compare execution speeds, latency metrics, and compute actual costs in real-time.

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Benchmark Performance Metrics

Standardized Scores (0–100%)

Scores show verified raw accuracy percentages across standardized AI evaluation suites. Higher bars indicate superior performance in that domain.

MMLUGeneral knowledge & multi-task understanding
87.8%vs80.0%+7.8% Jamba Large 1.7
Jamba Large 1.7 🏆
DeepSeek V3.1
HumanEvalPython coding & logic synthesis
87.0%vs78.2%+8.8% Jamba Large 1.7
Jamba Large 1.7 🏆
DeepSeek V3.1
MATHComplex mathematical problem solving
68.2%vs55.4%+12.8% Jamba Large 1.7
Jamba Large 1.7 🏆
DeepSeek V3.1
GPQAGraduate-level expert reasoning
49.6%vs40.8%+8.8% Jamba Large 1.7
Jamba Large 1.7 🏆
DeepSeek V3.1
HellaSwagCommonsense reasoning and inference
85.4%vs83.0%+2.4% Jamba Large 1.7
Jamba Large 1.7 🏆
DeepSeek V3.1
MT-BenchMulti-turn conversation flow quality
9.1%vs8.6%+0.6% Jamba Large 1.7
Jamba Large 1.7 🏆
DeepSeek V3.1

Jamba Large 1.7 Quirks & Gotchas

No developer gotchas reported.

DeepSeek V3.1 Quirks & Gotchas

No developer gotchas reported.

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