Choose the right model

Four frontier models, one unified platform. Pick speed, intelligence, or the perfect balance.

Riventa.Dev automatically routes your tasks to the optimal model via Smart Credits. You can also switch models manually mid-conversation with Flex Mode.

DeepSeek AI

DeepSeek V3.2

by DeepSeek AI · Open weights · MIT License

Default

685B parameters, mixture-of-experts. The most cost-efficient frontier model — 90% of GPT-5.4 quality at 1/50th the price. Optimized for speed and volume.

FastestMost affordableOpen weights
Speed100%
Intelligence60%
SWE-bench Verified74%
Cost efficiency100%

$0.28 / $0.42 per 1M tokens (input/output)

0.3 – 1 credit per interaction

Best for

  • · High-volume chat and Q&A
  • · Quick edits and drafts
  • · Simple code generation
  • · Content creation and translation
  • · Prototyping and experimentation

Anthropic

Claude Haiku 4.5

by Anthropic · Proprietary

The speed tier of the Claude family. Outperforms GPT-5.1 on SWE-bench while costing a fraction per token. Optimized for high-volume, latency-sensitive work.

BalancedLow latency
Speed80%
Intelligence70%
SWE-bench Verified73%
Cost efficiency60%

$0.80 / $4.00 per 1M tokens (input/output)

1 – 3 credits per interaction

Best for

  • · Real-time voice agents
  • · Interactive chat UIs
  • · Latency-critical flows
  • · Quick summarization

Anthropic

Claude Sonnet 4.6

by Anthropic · Proprietary

Recommended

Near-Opus performance at 1/5 the cost. Developers chose Sonnet 4.6 over Opus 4.5 59% of the time. The workhorse for serious development, refactoring, and multi-file reasoning.

Best valueProduction grade
Speed60%
Intelligence90%
SWE-bench Verified80%
Cost efficiency30%

$3.00 / $15.00 per 1M tokens (input/output)

5 – 10 credits per interaction

Best for

  • · Production customer agents
  • · Complex multi-step tasks
  • · Deep code refactoring
  • · Multi-file generation
  • · Advanced reasoning

Anthropic

Claude Opus 4.7

by Anthropic · Proprietary

Frontier

The most capable generally available coding model. 13% lift on SWE-bench over 4.6, with self-verification and high-resolution vision up to 3.75 megapixels. Maximum depth for architecture, complex debugging, and enterprise-grade work.

#1 SWE-benchDeepest reasoning
Speed30%
Intelligence100%
SWE-bench Verified81%
Cost efficiency10%

$5.00 / $25.00 per 1M tokens (input/output)

20 – 40 credits per interaction

Highest quality — uses significantly more tokens. Use deliberately for complex, high-value tasks.

Best for

  • · System architecture design
  • · Research and analysis
  • · Critical code review
  • · Complex multi-step reasoning
  • · Enterprise-grade solutions

Compare models side by side

Pick the model that fits your workload.

FeatureDeepSeek V3.2Claude Haiku 4.5Claude Sonnet 4.6Claude Opus 4.7
ProviderDeepSeek AIAnthropicAnthropicAnthropic
Context window128K200K200K (1M β)1M
SWE-bench Verified72-74%73.3%79.6%~91.3%
GPQA Diamond~80%~85%~90%
Speed●●●●●●●●●●●●●●
Relative cost$$$$$$$$$$$
Thinking modeBasicStandardAdaptiveExtended
Credits / interaction0.3 – 11 – 35 – 1020 – 40
Available onAll plansAll paid plansAll paid plansAll paid plans

How to choose

Four common scenarios and the model we'd pick.

Most cost-efficient

DeepSeek V3.2

Fastest responses

Claude Haiku 4.5

Best balance of speed and quality

Claude Sonnet 4.6

Maximum intelligence

Claude Opus 4.7

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