Pairwise benchmark snapshot · Aug 16, 2026noindex (thin pair)

DeepSeek Coder V2 vs AI21: Jamba Large 1.7 benchmark

Name: DeepSeek Coder V2 vs AI21: Jamba Large 1.7 AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares DeepSeek Coder V2 (DeepSeek) and AI21: Jamba Large 1.7 (ai21) using the latest snapshots we have as of Aug 16, 2026. DeepSeek Coder V2 wins on output price at $0.28/1M. AI21: Jamba Large 1.7 has the larger context window (256k tokens). Every cell below is a dated snapshot from a named public source — we do not invent missing scores, and we do not run SWE-bench ourselves.

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DeepSeek

DeepSeek Coder V2

DeepSeek open-weight Mixture-of-Experts coding model supporting 338 programming languages and 128k context.

Elo 1,365$0.28/1M out

ai21

AI21: Jamba Large 1.7

Auto-discovered from OpenRouter (ai21/jamba-large-1.7). Preview until a second source matches.

$8/1M out

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Model A

Model B

Quick vs:vs Claude Opus 4.5 vs Claude Opus 4.6 vs Claude Sonnet 4.5 vs Claude 3.7 Sonnet

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

DeepSeek Coder V2 (9)vsAI21: Jamba Large 1.7 (1)

DeepSeek Coder V2: 9W (90%)Overall: DeepSeek Coder V2AI21: Jamba Large 1.7: 1W (10%)

← DeepSeek Coder V2AI21: Jamba Large 1.7 →

DeepSeek Coder V2 (5/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Preference Elo

1,365vs—

Coding Elo

1,442vs—

SWE-bench

60.5%vs—

LiveBench

58.6%vs—

GPQA Diamond

70.2%vs—

DeepSeek Coder V2: 5WAI21: Jamba Large 1.7: 0W

DeepSeek Coder V2 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

75 tok/svs—

Time to first token

290 msvs—

DeepSeek Coder V2: 2WAI21: Jamba Large 1.7: 0W

DeepSeek Coder V2 (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.28/1Mvs$8/1M

Input price

$0.14/1Mvs$2/1M

Context window

128kvs256k

DeepSeek Coder V2: 2WAI21: Jamba Large 1.7: 1W

Capability Matchup Radar

Multi-Dimensional Capability Radar

Each spoke is a skill. Farther from the center is better (0–100th percentile). Tap any dot to inspect details.

Tap any node to inspect

Percentile 0–100

Dimensional AdvantageDeepSeek Coder V2 5/6

Preference Elo

No shared data

Throughput Speed

No shared data

Price Efficiency

DeepSeek Coder V2

$7.72/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,365

EloHigh is better

—

Code Elo

High is better

1,442

Code EloHigh is better

—

LiveBench

High is better

58.6%

LiveBenchHigh is better

—

SWE-bench

High is better

60.5%

SWE-benchHigh is better

—

GPQA

High is better

70.2%

GPQAHigh is better

—

TTFT

Low is better

290 ms

TTFTLow is better

—

Speed

High is better

75 tok/s

SpeedHigh is better

—

In $

Low is better

+1329%$0.14/1M

In $Low is better

$2/1M

Out $

Low is better

+2757%$0.28/1M

Out $Low is better

$8/1M

Context

High is better

128k

ContextHigh is better

256k+100%

Interactive Simulator

Workload Cost & Savings Calculator

Simulate monthly production API costs based on published $/1M tokens.

Save up to 95% with DeepSeek Coder V2

Monthly Volume50M tokens/mo

Quick Presets:

Token Ratio (In vs Out)70% In / 30% Out

RAG / Search (10% out)Coding / Chat (50% out)

DeepSeek Coder V2$9.10 / mo

In: $4.90Out: $4.20

AI21: Jamba Large 1.7$190.00 / mo

In: $70.00Out: $120.00

Estimated Cost Delta

DeepSeek Coder V2 is estimated to save $180.90/month ($2,171/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
DeepSeek Coder V2:Pick DeepSeek Coder V2 when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatDeepSeek Coder V2

Lower output list price ($0.28/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGAI21: Jamba Large 1.7

Larger window (256k).

Screenshots / visionAI21: Jamba Large 1.7

AI21: Jamba Large 1.7 is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	DeepSeek Coder V2	Lower output list price ($0.28/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	AI21: Jamba Large 1.7	Larger window (256k).
Screenshots / vision	AI21: Jamba Large 1.7	AI21: Jamba Large 1.7 is the side marked multimodal in the catalog.

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LIVE

DeepSeek

DeepSeek Coder V2

Elo 1,365

LiveBench58.6%

SWE-bench60.5%

Speed75 tok/s

Output cost$0.28/1M

ai21

AI21: Jamba Large 1.7

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost$8/1M

Frequently Asked Questions

Which is better overall, DeepSeek Coder V2 or AI21: Jamba Large 1.7?: We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.
Which is better at coding, DeepSeek Coder V2 or AI21: Jamba Large 1.7?: SWE-bench is missing for at least one model, so we do not rank coding from a single number.
Which is cheaper to run in production?: DeepSeek Coder V2 output tokens are $0.28/1M versus $8/1M. Input prices and retry rates still move the real bill.
Which is faster, DeepSeek Coder V2 or AI21: Jamba Large 1.7?: We do not have TTFT for both models.
Which has the larger context window?: AI21: Jamba Large 1.7 accepts 256k tokens versus 128k.
Can I self-host either model?: DeepSeek Coder V2 is marked open-weights in our catalog. The other side is a closed API. Check the provider license before you ship weights.
Are these scores from CompareLLM’s own evals?: No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.
What does preference Elo mean on this page?: Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. DeepSeek Coder V2 and AI21: Jamba Large 1.7 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All DeepSeek Coder V2 matchups →|All AI21: Jamba Large 1.7 matchups →

DeepSeek Coder V2 vs DeepSeek V3 (next deepseek)DeepSeek V4 Flash vs DeepSeek Coder V2 DeepSeek V4 Pro vs DeepSeek Coder V2 DeepSeek R1 vs DeepSeek Coder V2 Mistral Large 3 vs DeepSeek Coder V2 Llama 4 Maverick vs DeepSeek Coder V2

DeepSeek Coder V2 vs AI21: Jamba Large 1.7 benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

DeepSeek Coder V2 (9)vsAI21: Jamba Large 1.7 (1)

DeepSeek Coder V2: 9W (90%)Overall: DeepSeek Coder V2AI21: Jamba Large 1.7: 1W (10%)

← DeepSeek Coder V2AI21: Jamba Large 1.7 →

DeepSeek Coder V2 (5/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Preference Elo

1,365vs—

Coding Elo

1,442vs—

SWE-bench

60.5%vs—

LiveBench

58.6%vs—

GPQA Diamond

70.2%vs—

DeepSeek Coder V2: 5WAI21: Jamba Large 1.7: 0W

DeepSeek Coder V2 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

75 tok/svs—

Time to first token

290 msvs—

DeepSeek Coder V2: 2WAI21: Jamba Large 1.7: 0W

DeepSeek Coder V2 (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.28/1Mvs$8/1M

Input price

$0.14/1Mvs$2/1M

Context window

128kvs256k

DeepSeek Coder V2: 2WAI21: Jamba Large 1.7: 1W

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatDeepSeek Coder V2

Lower output list price ($0.28/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGAI21: Jamba Large 1.7

Larger window (256k).

Screenshots / visionAI21: Jamba Large 1.7

AI21: Jamba Large 1.7 is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	DeepSeek Coder V2	Lower output list price ($0.28/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	AI21: Jamba Large 1.7	Larger window (256k).
Screenshots / vision	AI21: Jamba Large 1.7	AI21: Jamba Large 1.7 is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, DeepSeek Coder V2 or AI21: Jamba Large 1.7?

We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.

Which is better at coding, DeepSeek Coder V2 or AI21: Jamba Large 1.7?

SWE-bench is missing for at least one model, so we do not rank coding from a single number.

Which is cheaper to run in production?

DeepSeek Coder V2 output tokens are $0.28/1M versus $8/1M. Input prices and retry rates still move the real bill.

Which is faster, DeepSeek Coder V2 or AI21: Jamba Large 1.7?

We do not have TTFT for both models.

Which has the larger context window?

AI21: Jamba Large 1.7 accepts 256k tokens versus 128k.

Can I self-host either model?

DeepSeek Coder V2 is marked open-weights in our catalog. The other side is a closed API. Check the provider license before you ship weights.

Are these scores from CompareLLM’s own evals?

No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.

What does preference Elo mean on this page?

Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. DeepSeek Coder V2 and AI21: Jamba Large 1.7 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.