Model Comparison

GPT-5.1 Codex vs Jamba 1.5 Mini

Comparing GPT-5.1 Codex and Jamba 1.5 Mini across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GPT-5.1 Codex and Jamba 1.5 Mini don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Jamba 1.5 Mini costs less

For input processing, GPT-5.1 Codex ($1.25/1M tokens) is 6.3x more expensive than Jamba 1.5 Mini ($0.20/1M tokens).

For output processing, GPT-5.1 Codex ($10.00/1M tokens) is 25.0x more expensive than Jamba 1.5 Mini ($0.40/1M tokens).

In conclusion, GPT-5.1 Codex is more expensive than Jamba 1.5 Mini.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Tue May 12 2026 • llm-stats.com
OpenAI
GPT-5.1 Codex
Input tokens$1.25
Output tokens$10.00
Best providerOpenAI
AI21 Labs
Jamba 1.5 Mini
Input tokens$0.20
Output tokens$0.40
Best providerAWS Bedrock
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

GPT-5.1 Codex accepts 400,000 input tokens compared to Jamba 1.5 Mini's 256,144 tokens. Jamba 1.5 Mini can generate longer responses up to 256,144 tokens, while GPT-5.1 Codex is limited to 128,000 tokens.

OpenAI
GPT-5.1 Codex
Input400,000 tokens
Output128,000 tokens
AI21 Labs
Jamba 1.5 Mini
Input256,144 tokens
Output256,144 tokens
Tue May 12 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-5.1 Codex supports multimodal inputs, whereas Jamba 1.5 Mini does not.

GPT-5.1 Codex can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-5.1 Codex

Text
Images
Audio
Video

Jamba 1.5 Mini

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5.1 Codex is licensed under a proprietary license, while Jamba 1.5 Mini uses Jamba Open Model License.

License differences may affect how you can use these models in commercial or open-source projects.

GPT-5.1 Codex

Proprietary

Closed source

Jamba 1.5 Mini

Jamba Open Model License

Open weights

Release Timeline

When each model was launched

GPT-5.1 Codex was released on 2025-11-19, while Jamba 1.5 Mini was released on 2024-08-22.

GPT-5.1 Codex is 15 months newer than Jamba 1.5 Mini.

GPT-5.1 Codex

Nov 19, 2025

5 months ago

1.2yr newer
Jamba 1.5 Mini

Aug 22, 2024

1.7 years ago

Knowledge Cutoff

When training data ends

GPT-5.1 Codex has a knowledge cutoff of 2024-09-30, while Jamba 1.5 Mini has a cutoff of 2024-03-05.

GPT-5.1 Codex has more recent training data (up to 2024-09-30), making it potentially better informed about events through that date compared to Jamba 1.5 Mini (2024-03-05).

GPT-5.1 Codex

Sep 2024

6 mo newer
Jamba 1.5 Mini

Mar 2024

Provider Availability

GPT-5.1 Codex is available from OpenAI. Jamba 1.5 Mini is available from Bedrock, Google.

GPT-5.1 Codex

openai logo
OpenAI
Input Price:Input: $1.25/1MOutput Price:Output: $10.00/1M

Jamba 1.5 Mini

bedrock logo
AWS Bedrock
Input Price:Input: $0.20/1MOutput Price:Output: $0.40/1M
google logo
Google
Input Price:Input: $0.20/1MOutput Price:Output: $0.40/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

OpenAI
Larger context window (400,000 tokens)
Supports multimodal inputs
AI21 Labs
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-5.1 Codex
AI21 Labs
Jamba 1.5 Mini

FAQ

Common questions about GPT-5.1 Codex vs Jamba 1.5 Mini.

Which is better, GPT-5.1 Codex or Jamba 1.5 Mini?

GPT-5.1 Codex (OpenAI) and Jamba 1.5 Mini (AI21 Labs) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does GPT-5.1 Codex compare to Jamba 1.5 Mini in benchmarks?

GPT-5.1 Codex scores SWE-Bench Verified: 73.7%, SWE-Lancer: 66.3%, Terminal-Bench 2.0: 52.8%. Jamba 1.5 Mini scores ARC-C: 85.7%, GSM8k: 75.8%, MMLU: 69.7%, TruthfulQA: 54.1%, Arena Hard: 46.1%.

Is GPT-5.1 Codex cheaper than Jamba 1.5 Mini?

Jamba 1.5 Mini is 6.3x cheaper for input tokens. GPT-5.1 Codex costs $1.25/M input and $10.00/M output via openai. Jamba 1.5 Mini costs $0.20/M input and $0.40/M output via bedrock.

What are the context window sizes for GPT-5.1 Codex and Jamba 1.5 Mini?

GPT-5.1 Codex supports 400K tokens and Jamba 1.5 Mini supports 256K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GPT-5.1 Codex and Jamba 1.5 Mini?

Key differences include context window (400K vs 256K), input pricing ($1.25 vs $0.20/M), multimodal support (yes vs no), licensing (Proprietary vs Jamba Open Model License). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-5.1 Codex and Jamba 1.5 Mini?

GPT-5.1 Codex is developed by OpenAI and Jamba 1.5 Mini is developed by AI21 Labs.