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Jamba Large 1.7 vs Mistral Medium 3.1

Detailed technical comparison between Jamba Large 1.7 (AI21 Labs) and Mistral Medium 3.1 (Mistral). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.

โšก Executive Summary & Verdict

Comparison Snapshot

Jamba Large 1.7: 6 WinsvsMistral Medium 3.1: 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

Mistral Medium 3.1

$0.40 / 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 โ†’
Mistralactive

Mistral Medium 3.1

Mistral Medium 3.1 is an updated version of Mistral Medium 3, which is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances...

View Mistral Medium 3.1 Full Specs โ†’

Technical Specifications

๐Ÿ† = Superior Spec
SpecificationJamba Large 1.7Mistral Medium 3.1
ProviderAI21 LabsMistral
Context Window256,000 tokens๐Ÿ†131,072 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 Date2025-08-082025-08-13

API Pricing Comparison

Input Price per Million Tokens

Jamba Large 1.7

$2.00

Mistral Medium 3.1

$0.40

Output Price per Million Tokens

Jamba Large 1.7

$8.00

Mistral Medium 3.1

$2.00

๐Ÿ’ก Cost Ratio: Mistral Medium 3.1 is 5.0x 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.

Benchmark Performance Metrics

Standardized Scores (0โ€“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%vs80.2%+7.6% Jamba Large 1.7
Jamba Large 1.7 ๐Ÿ†
Mistral Medium 3.1
HumanEvalPython coding & logic synthesis
87.0%vs78.4%+8.6% Jamba Large 1.7
Jamba Large 1.7 ๐Ÿ†
Mistral Medium 3.1
MATHComplex mathematical problem solving
68.2%vs55.6%+12.6% Jamba Large 1.7
Jamba Large 1.7 ๐Ÿ†
Mistral Medium 3.1
GPQAGraduate-level expert reasoning
49.6%vs41.0%+8.6% Jamba Large 1.7
Jamba Large 1.7 ๐Ÿ†
Mistral Medium 3.1
HellaSwagCommonsense reasoning and inference
85.4%vs83.2%+2.2% Jamba Large 1.7
Jamba Large 1.7 ๐Ÿ†
Mistral Medium 3.1
MT-BenchMulti-turn conversation flow quality
9.1%vs8.6%+0.6% Jamba Large 1.7
Jamba Large 1.7 ๐Ÿ†
Mistral Medium 3.1

Jamba Large 1.7 Quirks & Gotchas

No developer gotchas reported.

Mistral Medium 3.1 Quirks & Gotchas

No developer gotchas reported.

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